{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "os.chdir(\"../..\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********************\n",
      "\n",
      "   Going to generate c302_C2_AVB_VB_DB_VD_DD_AS and run for 4000 on jNeuroML_NEURON\n",
      "\n",
      "********************\n",
      "Set default parameters for C\n",
      "Set default parameters for C2\n",
      "Opened file: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/../../../herm_full_edgelist.csv\n",
      "Opened file: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/../../../herm_full_edgelist.csv\n",
      "c302      >>>  Positioning muscle: MDR01 at (80,-270,80)\n",
      "c302      >>>  Positioning muscle: MDR02 at (80,-240,80)\n",
      "c302      >>>  Positioning muscle: MDR03 at (80,-210,80)\n",
      "c302      >>>  Positioning muscle: MDR04 at (80,-180,80)\n",
      "c302      >>>  Positioning muscle: MDR05 at (80,-150,80)\n",
      "c302      >>>  Positioning muscle: MDR06 at (80,-120,80)\n",
      "c302      >>>  Positioning muscle: MDR07 at (80,-90,80)\n",
      "c302      >>>  Positioning muscle: MDR08 at (80,-60,80)\n",
      "c302      >>>  Positioning muscle: MDR09 at (80,-30,80)\n",
      "c302      >>>  Positioning muscle: MDR10 at (80,0,80)\n",
      "c302      >>>  Positioning muscle: MDR11 at (80,30,80)\n",
      "c302      >>>  Positioning muscle: MDR12 at (80,60,80)\n",
      "c302      >>>  Positioning muscle: MDR13 at (80,90,80)\n",
      "c302      >>>  Positioning muscle: MDR14 at (80,120,80)\n",
      "c302      >>>  Positioning muscle: MDR15 at (80,150,80)\n",
      "c302      >>>  Positioning muscle: MDR16 at (80,180,80)\n",
      "c302      >>>  Positioning muscle: MDR17 at (80,210,80)\n",
      "c302      >>>  Positioning muscle: MDR18 at (80,240,80)\n",
      "c302      >>>  Positioning muscle: MDR19 at (80,270,80)\n",
      "c302      >>>  Positioning muscle: MDR20 at (80,300,80)\n",
      "c302      >>>  Positioning muscle: MDR21 at (80,330,80)\n",
      "c302      >>>  Positioning muscle: MDR22 at (80,360,80)\n",
      "c302      >>>  Positioning muscle: MDR23 at (80,390,80)\n",
      "c302      >>>  Positioning muscle: MDR24 at (80,420,80)\n",
      "c302      >>>  Positioning muscle: MVR01 at (-80,-270,80)\n",
      "c302      >>>  Positioning muscle: MVR02 at (-80,-240,80)\n",
      "c302      >>>  Positioning muscle: MVR03 at (-80,-210,80)\n",
      "c302      >>>  Positioning muscle: MVR04 at (-80,-180,80)\n",
      "c302      >>>  Positioning muscle: MVR05 at (-80,-150,80)\n",
      "c302      >>>  Positioning muscle: MVR06 at (-80,-120,80)\n",
      "c302      >>>  Positioning muscle: MVR07 at (-80,-90,80)\n",
      "c302      >>>  Positioning muscle: MVR08 at (-80,-60,80)\n",
      "c302      >>>  Positioning muscle: MVR09 at (-80,-30,80)\n",
      "c302      >>>  Positioning muscle: MVR10 at (-80,0,80)\n",
      "c302      >>>  Positioning muscle: MVR11 at (-80,30,80)\n",
      "c302      >>>  Positioning muscle: MVR12 at (-80,60,80)\n",
      "c302      >>>  Positioning muscle: MVR13 at (-80,90,80)\n",
      "c302      >>>  Positioning muscle: MVR14 at (-80,120,80)\n",
      "c302      >>>  Positioning muscle: MVR15 at (-80,150,80)\n",
      "c302      >>>  Positioning muscle: MVR16 at (-80,180,80)\n",
      "c302      >>>  Positioning muscle: MVR17 at (-80,210,80)\n",
      "c302      >>>  Positioning muscle: MVR18 at (-80,240,80)\n",
      "c302      >>>  Positioning muscle: MVR19 at (-80,270,80)\n",
      "c302      >>>  Positioning muscle: MVR20 at (-80,300,80)\n",
      "c302      >>>  Positioning muscle: MVR21 at (-80,330,80)\n",
      "c302      >>>  Positioning muscle: MVR22 at (-80,360,80)\n",
      "c302      >>>  Positioning muscle: MVR23 at (-80,390,80)\n",
      "c302      >>>  Positioning muscle: MVL01 at (-80,-270,-80)\n",
      "c302      >>>  Positioning muscle: MVL02 at (-80,-240,-80)\n",
      "c302      >>>  Positioning muscle: MVL03 at (-80,-210,-80)\n",
      "c302      >>>  Positioning muscle: MVL04 at (-80,-180,-80)\n",
      "c302      >>>  Positioning muscle: MVL05 at (-80,-150,-80)\n",
      "c302      >>>  Positioning muscle: MVL06 at (-80,-120,-80)\n",
      "c302      >>>  Positioning muscle: MVL07 at (-80,-90,-80)\n",
      "c302      >>>  Positioning muscle: MVL08 at (-80,-60,-80)\n",
      "c302      >>>  Positioning muscle: MVL09 at (-80,-30,-80)\n",
      "c302      >>>  Positioning muscle: MVL10 at (-80,0,-80)\n",
      "c302      >>>  Positioning muscle: MVL11 at (-80,30,-80)\n",
      "c302      >>>  Positioning muscle: MVL12 at (-80,60,-80)\n",
      "c302      >>>  Positioning muscle: MVL13 at (-80,90,-80)\n",
      "c302      >>>  Positioning muscle: MVL14 at (-80,120,-80)\n",
      "c302      >>>  Positioning muscle: MVL15 at (-80,150,-80)\n",
      "c302      >>>  Positioning muscle: MVL16 at (-80,180,-80)\n",
      "c302      >>>  Positioning muscle: MVL17 at (-80,210,-80)\n",
      "c302      >>>  Positioning muscle: MVL18 at (-80,240,-80)\n",
      "c302      >>>  Positioning muscle: MVL19 at (-80,270,-80)\n",
      "c302      >>>  Positioning muscle: MVL20 at (-80,300,-80)\n",
      "c302      >>>  Positioning muscle: MVL21 at (-80,330,-80)\n",
      "c302      >>>  Positioning muscle: MVL22 at (-80,360,-80)\n",
      "c302      >>>  Positioning muscle: MVL23 at (-80,390,-80)\n",
      "c302      >>>  Positioning muscle: MVL24 at (-80,420,-80)\n",
      "c302      >>>  Positioning muscle: MDL01 at (80,-270,-80)\n",
      "c302      >>>  Positioning muscle: MDL02 at (80,-240,-80)\n",
      "c302      >>>  Positioning muscle: MDL03 at (80,-210,-80)\n",
      "c302      >>>  Positioning muscle: MDL04 at (80,-180,-80)\n",
      "c302      >>>  Positioning muscle: MDL05 at (80,-150,-80)\n",
      "c302      >>>  Positioning muscle: MDL06 at (80,-120,-80)\n",
      "c302      >>>  Positioning muscle: MDL07 at (80,-90,-80)\n",
      "c302      >>>  Positioning muscle: MDL08 at (80,-60,-80)\n",
      "c302      >>>  Positioning muscle: MDL09 at (80,-30,-80)\n",
      "c302      >>>  Positioning muscle: MDL10 at (80,0,-80)\n",
      "c302      >>>  Positioning muscle: MDL11 at (80,30,-80)\n",
      "c302      >>>  Positioning muscle: MDL12 at (80,60,-80)\n",
      "c302      >>>  Positioning muscle: MDL13 at (80,90,-80)\n",
      "c302      >>>  Positioning muscle: MDL14 at (80,120,-80)\n",
      "c302      >>>  Positioning muscle: MDL15 at (80,150,-80)\n",
      "c302      >>>  Positioning muscle: MDL16 at (80,180,-80)\n",
      "c302      >>>  Positioning muscle: MDL17 at (80,210,-80)\n",
      "c302      >>>  Positioning muscle: MDL18 at (80,240,-80)\n",
      "c302      >>>  Positioning muscle: MDL19 at (80,270,-80)\n",
      "c302      >>>  Positioning muscle: MDL20 at (80,300,-80)\n",
      "c302      >>>  Positioning muscle: MDL21 at (80,330,-80)\n",
      "c302      >>>  Positioning muscle: MDL22 at (80,360,-80)\n",
      "c302      >>>  Positioning muscle: MDL23 at (80,390,-80)\n",
      "c302      >>>  Positioning muscle: MDL24 at (80,420,-80)\n",
      "AVBL-AVBR 6 exc Acetylcholine\n",
      "AVBL-AS4 1 exc Acetylcholine\n",
      "AVBL-AS5 2 exc Acetylcholine\n",
      "AVBL-AS10 2 exc Acetylcholine\n",
      "AVBL-VB2 3 exc Acetylcholine\n",
      "AVBR-AVBL 2 exc Acetylcholine\n",
      "AVBR-DB4 1 exc Acetylcholine\n",
      "AVBR-AS1 2 exc Acetylcholine\n",
      "AVBR-AS3 3 exc Acetylcholine\n",
      "AVBR-AS4 1 exc Acetylcholine\n",
      "AVBR-AS10 1 exc Acetylcholine\n",
      "AVBR-VD3 2 exc Acetylcholine\n",
      "DB1-AS1 28 exc Acetylcholine\n",
      "DB1-AS2 4 exc Acetylcholine\n",
      "DB1-DD1 31 exc Acetylcholine\n",
      "DB1-VD2 24 exc Acetylcholine\n",
      "DB1-VD3 2 exc Acetylcholine\n",
      "DB2-AS3 3 exc Acetylcholine\n",
      "DB2-AS4 2 exc Acetylcholine\n",
      "DB2-DD1 3 exc Acetylcholine\n",
      "DB2-DD2 16 exc Acetylcholine\n",
      "DB2-VD3 33 exc Acetylcholine\n",
      "DB2-VD4 15 exc Acetylcholine\n",
      "DB3-AS4 2 exc Acetylcholine\n",
      "DB3-AS5 1 exc Acetylcholine\n",
      "DB3-DD2 3 exc Acetylcholine\n",
      "DB3-DD3 14 exc Acetylcholine\n",
      "DB3-DD5 14 exc Acetylcholine\n",
      "DB3-VD4 9 exc Acetylcholine\n",
      "DB3-VD5 24 exc Acetylcholine\n",
      "DB3-VD6 4 exc Acetylcholine\n",
      "DB4-AS6 2 exc Acetylcholine\n",
      "DB4-DD3 9 exc Acetylcholine\n",
      "DB4-DD4 2 exc Acetylcholine\n",
      "DB4-DD5 9 exc Acetylcholine\n",
      "DB4-DD6 2 exc Acetylcholine\n",
      "DB4-VD6 14 exc Acetylcholine\n",
      "DB5-AS7 3 exc Acetylcholine\n",
      "DB5-AS8 2 exc Acetylcholine\n",
      "DB5-VD4 3 exc Acetylcholine\n",
      "DB5-VD5 3 exc Acetylcholine\n",
      "DB5-VD6 13 exc Acetylcholine\n",
      "DB5-VD7 13 exc Acetylcholine\n",
      "DB6-AS8 2 exc Acetylcholine\n",
      "DB6-AS9 1 exc Acetylcholine\n",
      "DB6-VD7 10 exc Acetylcholine\n",
      "DB6-VD8 12 exc Acetylcholine\n",
      "DB6-VD9 10 exc Acetylcholine\n",
      "DB7-AS10 2 exc Acetylcholine\n",
      "DB7-AS11 2 exc Acetylcholine\n",
      "DB7-VD8 5 exc Acetylcholine\n",
      "DB7-VD9 5 exc Acetylcholine\n",
      "DB7-VD10 7 exc Acetylcholine\n",
      "DB7-VD11 5 exc Acetylcholine\n",
      "DB7-VD12 5 exc Acetylcholine\n",
      "DB7-VD13 5 exc Acetylcholine\n",
      "AS1-DB1 3 exc Acetylcholine\n",
      "AS1-AS1 3 exc Acetylcholine\n",
      "AS1-DD1 2 exc Acetylcholine\n",
      "AS1-VD1 20 exc Acetylcholine\n",
      "AS2-DB1 1 exc Acetylcholine\n",
      "AS2-DD1 3 exc Acetylcholine\n",
      "AS2-VD2 21 exc Acetylcholine\n",
      "AS3-VD3 23 exc Acetylcholine\n",
      "AS4-DB2 2 exc Acetylcholine\n",
      "AS4-DD1 2 exc Acetylcholine\n",
      "AS4-DD2 4 exc Acetylcholine\n",
      "AS4-VD4 21 exc Acetylcholine\n",
      "AS5-AS5 3 exc Acetylcholine\n",
      "AS5-VD5 12 exc Acetylcholine\n",
      "AS6-DB4 1 exc Acetylcholine\n",
      "AS6-VD6 20 exc Acetylcholine\n",
      "AS7-VD7 20 exc Acetylcholine\n",
      "AS8-VD8 20 exc Acetylcholine\n",
      "AS9-VD9 20 exc Acetylcholine\n",
      "AS10-VD10 10 exc Acetylcholine\n",
      "AS10-VD11 10 exc Acetylcholine\n",
      "AS11-DD6 6 exc Acetylcholine\n",
      "AS11-VD12 20 exc Acetylcholine\n",
      "AS11-VD13 4 exc Acetylcholine\n",
      "DD1-VB2 1 inh GABA\n",
      "DD1-VD2 1 inh GABA\n",
      "DD2-VD3 1 inh GABA\n",
      "DD2-VD4 1 inh GABA\n",
      "VB1-DD1 1 exc Acetylcholine\n",
      "VB1-VD1 4 exc Acetylcholine\n",
      "VB1-VD2 2 exc Acetylcholine\n",
      "VB2-DD1 30 exc Acetylcholine\n",
      "VB2-DD2 1 exc Acetylcholine\n",
      "VB2-VD2 14 exc Acetylcholine\n",
      "VB2-VD3 4 exc Acetylcholine\n",
      "VB3-DD2 36 exc Acetylcholine\n",
      "VB3-VD3 4 exc Acetylcholine\n",
      "VB3-VD4 6 exc Acetylcholine\n",
      "VB4-DD2 7 exc Acetylcholine\n",
      "VB4-DD3 13 exc Acetylcholine\n",
      "VB4-VB5 1 exc Acetylcholine\n",
      "VB4-VD4 1 exc Acetylcholine\n",
      "VB4-VD5 3 exc Acetylcholine\n",
      "VB5-DD3 34 exc Acetylcholine\n",
      "VB5-VD6 10 exc Acetylcholine\n",
      "VB6-DD4 32 exc Acetylcholine\n",
      "VB6-VD6 1 exc Acetylcholine\n",
      "VB6-VD7 22 exc Acetylcholine\n",
      "VB7-DD5 29 exc Acetylcholine\n",
      "VB7-VD8 5 exc Acetylcholine\n",
      "VB7-VD9 6 exc Acetylcholine\n",
      "VB8-DD5 10 exc Acetylcholine\n",
      "VB8-DD6 19 exc Acetylcholine\n",
      "VB8-VD9 5 exc Acetylcholine\n",
      "VB8-VD10 6 exc Acetylcholine\n",
      "VB9-DD5 10 exc Acetylcholine\n",
      "VB9-DD6 19 exc Acetylcholine\n",
      "VB9-VD10 5 exc Acetylcholine\n",
      "VB9-VD11 6 exc Acetylcholine\n",
      "VB10-DD6 19 exc Acetylcholine\n",
      "VB10-VD11 7 exc Acetylcholine\n",
      "VB10-VD12 6 exc Acetylcholine\n",
      "VB11-DD6 19 exc Acetylcholine\n",
      "VB11-VD12 2 exc Acetylcholine\n",
      "VB11-VD13 22 exc Acetylcholine\n",
      "VD1-DD1 2 inh GABA\n",
      "VD1-VB1 5 inh GABA\n",
      "VD2-AS1 1 inh GABA\n",
      "VD2-DD1 1 inh GABA\n",
      "VD2-VB2 4 inh GABA\n",
      "VD3-DD1 6 inh GABA\n",
      "VD3-VB2 2 inh GABA\n",
      "VD3-VB3 1 inh GABA\n",
      "VD4-VB3 2 inh GABA\n",
      "VD5-VB1 1 inh GABA\n",
      "VD5-VB4 2 inh GABA\n",
      "VD6-VB5 1 inh GABA\n",
      "VD7-VB6 2 inh GABA\n",
      "VD7-VB7 1 inh GABA\n",
      "VD8-VB7 2 inh GABA\n",
      "VD9-VB8 2 inh GABA\n",
      "VD10-VB9 1 inh GABA\n",
      "VD11-DD6 2 inh GABA\n",
      "VD11-VB10 1 inh GABA\n",
      "VD12-DD6 2 inh GABA\n",
      "VD12-VB11 1 inh GABA\n",
      "VD13-DD6 3 inh GABA\n",
      "VD13-VD12 1 inh GABA\n",
      "AVBL-AVBR_GJ 17 exc Generic_GJ\n",
      "AVBL-DB2_GJ 4 exc Generic_GJ\n",
      "AVBL-DB3_GJ 9 exc Generic_GJ\n",
      "AVBL-DB4_GJ 4 exc Generic_GJ\n",
      "AVBL-DB5_GJ 3 exc Generic_GJ\n",
      "AVBL-DB6_GJ 4 exc Generic_GJ\n",
      "AVBL-DB7_GJ 13 exc Generic_GJ\n",
      "AVBL-AS6_GJ 1 exc Generic_GJ\n",
      "AVBL-AS10_GJ 1 exc Generic_GJ\n",
      "AVBL-VB1_GJ 1 exc Generic_GJ\n",
      "AVBL-VB2_GJ 14 exc Generic_GJ\n",
      "AVBL-VB4_GJ 3 exc Generic_GJ\n",
      "AVBL-VB5_GJ 3 exc Generic_GJ\n",
      "AVBL-VB6_GJ 3 exc Generic_GJ\n",
      "AVBL-VB7_GJ 4 exc Generic_GJ\n",
      "AVBL-VB8_GJ 4 exc Generic_GJ\n",
      "AVBL-VB9_GJ 3 exc Generic_GJ\n",
      "AVBL-VB10_GJ 4 exc Generic_GJ\n",
      "AVBL-VB11_GJ 5 exc Generic_GJ\n",
      "AVBR-AVBL_GJ 17 exc Generic_GJ\n",
      "AVBR-DB1_GJ 15 exc Generic_GJ\n",
      "AVBR-DB2_GJ 3 exc Generic_GJ\n",
      "AVBR-DB3_GJ 2 exc Generic_GJ\n",
      "AVBR-DB4_GJ 5 exc Generic_GJ\n",
      "AVBR-DB5_GJ 4 exc Generic_GJ\n",
      "AVBR-DB6_GJ 3 exc Generic_GJ\n",
      "AVBR-DB7_GJ 3 exc Generic_GJ\n",
      "AVBR-AS5_GJ 2 exc Generic_GJ\n",
      "AVBR-AS6_GJ 1 exc Generic_GJ\n",
      "AVBR-VB2_GJ 6 exc Generic_GJ\n",
      "AVBR-VB3_GJ 7 exc Generic_GJ\n",
      "AVBR-VB4_GJ 5 exc Generic_GJ\n",
      "AVBR-VB5_GJ 3 exc Generic_GJ\n",
      "AVBR-VB6_GJ 4 exc Generic_GJ\n",
      "AVBR-VB7_GJ 3 exc Generic_GJ\n",
      "AVBR-VB8_GJ 3 exc Generic_GJ\n",
      "AVBR-VB9_GJ 4 exc Generic_GJ\n",
      "AVBR-VB10_GJ 3 exc Generic_GJ\n",
      "AVBR-VB11_GJ 6 exc Generic_GJ\n",
      "DB1-AVBR_GJ 15 exc Generic_GJ\n",
      "DB1-DB2_GJ 5 exc Generic_GJ\n",
      "DB1-VB3_GJ 5 exc Generic_GJ\n",
      "DB2-AVBL_GJ 4 exc Generic_GJ\n",
      "DB2-AVBR_GJ 3 exc Generic_GJ\n",
      "DB2-DB1_GJ 5 exc Generic_GJ\n",
      "DB2-DB3_GJ 14 exc Generic_GJ\n",
      "DB2-VB4_GJ 1 exc Generic_GJ\n",
      "DB3-AVBL_GJ 9 exc Generic_GJ\n",
      "DB3-AVBR_GJ 2 exc Generic_GJ\n",
      "DB3-DB2_GJ 14 exc Generic_GJ\n",
      "DB3-DB4_GJ 1 exc Generic_GJ\n",
      "DB3-DD3_GJ 1 exc Generic_GJ\n",
      "DB3-VB6_GJ 1 exc Generic_GJ\n",
      "DB4-AVBL_GJ 4 exc Generic_GJ\n",
      "DB4-AVBR_GJ 5 exc Generic_GJ\n",
      "DB4-DB3_GJ 1 exc Generic_GJ\n",
      "DB4-DB5_GJ 5 exc Generic_GJ\n",
      "DB4-DD3_GJ 1 exc Generic_GJ\n",
      "DB5-AVBL_GJ 3 exc Generic_GJ\n",
      "DB5-AVBR_GJ 4 exc Generic_GJ\n",
      "DB5-DB4_GJ 5 exc Generic_GJ\n",
      "DB5-DB6_GJ 5 exc Generic_GJ\n",
      "DB6-AVBL_GJ 3 exc Generic_GJ\n",
      "DB6-AVBR_GJ 4 exc Generic_GJ\n",
      "DB6-DB5_GJ 5 exc Generic_GJ\n",
      "DB6-DB7_GJ 5 exc Generic_GJ\n",
      "DB7-AVBL_GJ 13 exc Generic_GJ\n",
      "DB7-AVBR_GJ 3 exc Generic_GJ\n",
      "DB7-DB6_GJ 5 exc Generic_GJ\n",
      "DB7-AS10_GJ 1 exc Generic_GJ\n",
      "AS1-VD2_GJ 23 exc Generic_GJ\n",
      "AS5-AVBR_GJ 2 exc Generic_GJ\n",
      "AS6-AVBL_GJ 1 exc Generic_GJ\n",
      "AS6-AVBR_GJ 1 exc Generic_GJ\n",
      "AS10-AVBL_GJ 1 exc Generic_GJ\n",
      "AS10-DB7_GJ 1 exc Generic_GJ\n",
      "AS11-VB11_GJ 1 exc Generic_GJ\n",
      "DD1-DD2_GJ 6 exc Generic_GJ\n",
      "DD1-VD2_GJ 3 exc Generic_GJ\n",
      "DD1-VD3_GJ 4 exc Generic_GJ\n",
      "DD2-DD1_GJ 6 exc Generic_GJ\n",
      "DD2-DD3_GJ 2 exc Generic_GJ\n",
      "DD2-VD3_GJ 1 exc Generic_GJ\n",
      "DD2-VD4_GJ 2 exc Generic_GJ\n",
      "DD2-VD5_GJ 1 exc Generic_GJ\n",
      "DD3-DB3_GJ 1 exc Generic_GJ\n",
      "DD3-DB4_GJ 1 exc Generic_GJ\n",
      "DD3-DD2_GJ 2 exc Generic_GJ\n",
      "DD3-DD4_GJ 3 exc Generic_GJ\n",
      "DD4-DD3_GJ 3 exc Generic_GJ\n",
      "DD4-DD5_GJ 3 exc Generic_GJ\n",
      "DD5-DD4_GJ 3 exc Generic_GJ\n",
      "DD5-DD6_GJ 3 exc Generic_GJ\n",
      "DD6-DD5_GJ 3 exc Generic_GJ\n",
      "DD6-VD11_GJ 3 exc Generic_GJ\n",
      "DD6-VD12_GJ 14 exc Generic_GJ\n",
      "DD6-VD13_GJ 2 exc Generic_GJ\n",
      "VB1-AVBL_GJ 1 exc Generic_GJ\n",
      "VB1-VB2_GJ 2 exc Generic_GJ\n",
      "VB2-AVBL_GJ 14 exc Generic_GJ\n",
      "VB2-AVBR_GJ 6 exc Generic_GJ\n",
      "VB2-VB1_GJ 2 exc Generic_GJ\n",
      "VB2-VB3_GJ 10 exc Generic_GJ\n",
      "VB2-VB4_GJ 1 exc Generic_GJ\n",
      "VB3-AVBR_GJ 7 exc Generic_GJ\n",
      "VB3-DB1_GJ 5 exc Generic_GJ\n",
      "VB3-VB2_GJ 10 exc Generic_GJ\n",
      "VB3-VB4_GJ 1 exc Generic_GJ\n",
      "VB4-AVBL_GJ 3 exc Generic_GJ\n",
      "VB4-AVBR_GJ 5 exc Generic_GJ\n",
      "VB4-DB2_GJ 1 exc Generic_GJ\n",
      "VB4-VB2_GJ 1 exc Generic_GJ\n",
      "VB4-VB3_GJ 1 exc Generic_GJ\n",
      "VB4-VB5_GJ 1 exc Generic_GJ\n",
      "VB5-AVBL_GJ 3 exc Generic_GJ\n",
      "VB5-AVBR_GJ 3 exc Generic_GJ\n",
      "VB5-VB4_GJ 1 exc Generic_GJ\n",
      "VB5-VB6_GJ 5 exc Generic_GJ\n",
      "VB6-AVBL_GJ 3 exc Generic_GJ\n",
      "VB6-AVBR_GJ 4 exc Generic_GJ\n",
      "VB6-DB3_GJ 1 exc Generic_GJ\n",
      "VB6-VB5_GJ 5 exc Generic_GJ\n",
      "VB6-VB7_GJ 5 exc Generic_GJ\n",
      "VB7-AVBL_GJ 4 exc Generic_GJ\n",
      "VB7-AVBR_GJ 3 exc Generic_GJ\n",
      "VB7-VB6_GJ 5 exc Generic_GJ\n",
      "VB7-VB8_GJ 5 exc Generic_GJ\n",
      "VB8-AVBL_GJ 3 exc Generic_GJ\n",
      "VB8-AVBR_GJ 4 exc Generic_GJ\n",
      "VB8-VB7_GJ 5 exc Generic_GJ\n",
      "VB8-VB9_GJ 5 exc Generic_GJ\n",
      "VB9-AVBL_GJ 4 exc Generic_GJ\n",
      "VB9-AVBR_GJ 3 exc Generic_GJ\n",
      "VB9-VB8_GJ 5 exc Generic_GJ\n",
      "VB9-VB10_GJ 5 exc Generic_GJ\n",
      "VB10-AVBL_GJ 3 exc Generic_GJ\n",
      "VB10-AVBR_GJ 4 exc Generic_GJ\n",
      "VB10-VB9_GJ 5 exc Generic_GJ\n",
      "VB10-VB11_GJ 4 exc Generic_GJ\n",
      "VB10-VD11_GJ 1 exc Generic_GJ\n",
      "VB10-VD12_GJ 1 exc Generic_GJ\n",
      "VB11-AVBL_GJ 5 exc Generic_GJ\n",
      "VB11-AVBR_GJ 6 exc Generic_GJ\n",
      "VB11-AS11_GJ 1 exc Generic_GJ\n",
      "VB11-VB10_GJ 4 exc Generic_GJ\n",
      "VD1-VD2_GJ 4 exc Generic_GJ\n",
      "VD2-AS1_GJ 23 exc Generic_GJ\n",
      "VD2-DD1_GJ 3 exc Generic_GJ\n",
      "VD2-VD1_GJ 4 exc Generic_GJ\n",
      "VD2-VD2_GJ 3 exc Generic_GJ\n",
      "VD2-VD3_GJ 7 exc Generic_GJ\n",
      "VD3-DD1_GJ 4 exc Generic_GJ\n",
      "VD3-DD2_GJ 1 exc Generic_GJ\n",
      "VD3-VD2_GJ 7 exc Generic_GJ\n",
      "VD3-VD4_GJ 6 exc Generic_GJ\n",
      "VD4-DD2_GJ 2 exc Generic_GJ\n",
      "VD4-VD3_GJ 6 exc Generic_GJ\n",
      "VD4-VD5_GJ 1 exc Generic_GJ\n",
      "VD5-DD2_GJ 1 exc Generic_GJ\n",
      "VD5-VD4_GJ 1 exc Generic_GJ\n",
      "VD5-VD6_GJ 10 exc Generic_GJ\n",
      "VD6-VD5_GJ 10 exc Generic_GJ\n",
      "VD6-VD7_GJ 15 exc Generic_GJ\n",
      "VD7-VD6_GJ 15 exc Generic_GJ\n",
      "VD7-VD8_GJ 6 exc Generic_GJ\n",
      "VD8-VD7_GJ 6 exc Generic_GJ\n",
      "VD8-VD9_GJ 6 exc Generic_GJ\n",
      "VD9-VD8_GJ 6 exc Generic_GJ\n",
      "VD9-VD10_GJ 6 exc Generic_GJ\n",
      "VD10-VD9_GJ 6 exc Generic_GJ\n",
      "VD10-VD11_GJ 6 exc Generic_GJ\n",
      "VD11-DD6_GJ 3 exc Generic_GJ\n",
      "VD11-VB10_GJ 1 exc Generic_GJ\n",
      "VD11-VD10_GJ 6 exc Generic_GJ\n",
      "VD11-VD12_GJ 6 exc Generic_GJ\n",
      "VD12-DD6_GJ 14 exc Generic_GJ\n",
      "VD12-VB10_GJ 1 exc Generic_GJ\n",
      "VD12-VD11_GJ 6 exc Generic_GJ\n",
      "VD12-VD13_GJ 6 exc Generic_GJ\n",
      "VD13-DD6_GJ 2 exc Generic_GJ\n",
      "VD13-VD12_GJ 6 exc Generic_GJ\n",
      "AVBR-MVL16 1 exc Acetylcholine\n",
      "DB1-MDL06 3 exc Acetylcholine\n",
      "DB1-MDL08 3 exc Acetylcholine\n",
      "DB1-MDL09 6 exc Acetylcholine\n",
      "DB1-MDR08 6 exc Acetylcholine\n",
      "DB1-MDR09 2 exc Acetylcholine\n",
      "DB2-MDL09 2 exc Acetylcholine\n",
      "DB2-MDL10 4 exc Acetylcholine\n",
      "DB2-MDL11 5 exc Acetylcholine\n",
      "DB2-MDL12 1 exc Acetylcholine\n",
      "DB2-MDR09 1 exc Acetylcholine\n",
      "DB2-MDR10 6 exc Acetylcholine\n",
      "DB2-MDR11 8 exc Acetylcholine\n",
      "DB3-MDL11 6 exc Acetylcholine\n",
      "DB3-MDL12 1 exc Acetylcholine\n",
      "DB3-MDL13 3 exc Acetylcholine\n",
      "DB3-MDL14 1 exc Acetylcholine\n",
      "DB3-MDR11 2 exc Acetylcholine\n",
      "DB3-MDR12 13 exc Acetylcholine\n",
      "DB3-MDR13 1 exc Acetylcholine\n",
      "DB4-MDL13 4 exc Acetylcholine\n",
      "DB4-MDL14 1 exc Acetylcholine\n",
      "DB4-MDL15 3 exc Acetylcholine\n",
      "DB4-MDL16 3 exc Acetylcholine\n",
      "DB4-MDR13 3 exc Acetylcholine\n",
      "DB4-MDR14 5 exc Acetylcholine\n",
      "DB4-MDR15 3 exc Acetylcholine\n",
      "DB4-MDR16 3 exc Acetylcholine\n",
      "DB5-MDL14 2 exc Acetylcholine\n",
      "DB5-MDL15 2 exc Acetylcholine\n",
      "DB5-MDL16 2 exc Acetylcholine\n",
      "DB5-MDL17 2 exc Acetylcholine\n",
      "DB5-MDL18 2 exc Acetylcholine\n",
      "DB5-MDL19 2 exc Acetylcholine\n",
      "DB5-MDR14 2 exc Acetylcholine\n",
      "DB5-MDR15 2 exc Acetylcholine\n",
      "DB5-MDR16 2 exc Acetylcholine\n",
      "DB5-MDR17 2 exc Acetylcholine\n",
      "DB5-MDR18 2 exc Acetylcholine\n",
      "DB5-MDR19 2 exc Acetylcholine\n",
      "DB6-MDL16 2 exc Acetylcholine\n",
      "DB6-MDL17 2 exc Acetylcholine\n",
      "DB6-MDL18 2 exc Acetylcholine\n",
      "DB6-MDL19 2 exc Acetylcholine\n",
      "DB6-MDL20 2 exc Acetylcholine\n",
      "DB6-MDL21 2 exc Acetylcholine\n",
      "DB6-MDR16 2 exc Acetylcholine\n",
      "DB6-MDR17 2 exc Acetylcholine\n",
      "DB6-MDR18 2 exc Acetylcholine\n",
      "DB6-MDR19 2 exc Acetylcholine\n",
      "DB6-MDR20 2 exc Acetylcholine\n",
      "DB6-MDR21 2 exc Acetylcholine\n",
      "DB7-MDL19 2 exc Acetylcholine\n",
      "DB7-MDL20 2 exc Acetylcholine\n",
      "DB7-MDL21 2 exc Acetylcholine\n",
      "DB7-MDL22 2 exc Acetylcholine\n",
      "DB7-MDL23 2 exc Acetylcholine\n",
      "DB7-MDL24 2 exc Acetylcholine\n",
      "DB7-MDR19 2 exc Acetylcholine\n",
      "DB7-MDR20 2 exc Acetylcholine\n",
      "DB7-MDR21 2 exc Acetylcholine\n",
      "DB7-MDR22 2 exc Acetylcholine\n",
      "DB7-MDR23 2 exc Acetylcholine\n",
      "DB7-MDR24 2 exc Acetylcholine\n",
      "AS1-MDL06 4 exc Acetylcholine\n",
      "AS1-MDL07 6 exc Acetylcholine\n",
      "AS1-MDR06 10 exc Acetylcholine\n",
      "AS1-MDR07 10 exc Acetylcholine\n",
      "AS2-MDL07 2 exc Acetylcholine\n",
      "AS2-MDL08 5 exc Acetylcholine\n",
      "AS2-MDL09 6 exc Acetylcholine\n",
      "AS2-MDR07 3 exc Acetylcholine\n",
      "AS2-MDR08 4 exc Acetylcholine\n",
      "AS2-MDR09 2 exc Acetylcholine\n",
      "AS3-MDL09 1 exc Acetylcholine\n",
      "AS3-MDL10 7 exc Acetylcholine\n",
      "AS3-MDR09 8 exc Acetylcholine\n",
      "AS3-MDR10 5 exc Acetylcholine\n",
      "AS4-MDL10 5 exc Acetylcholine\n",
      "AS4-MDL11 5 exc Acetylcholine\n",
      "AS4-MDL12 2 exc Acetylcholine\n",
      "AS4-MDR11 4 exc Acetylcholine\n",
      "AS4-MDR12 5 exc Acetylcholine\n",
      "AS5-MDL11 2 exc Acetylcholine\n",
      "AS5-MDL12 8 exc Acetylcholine\n",
      "AS5-MDR12 2 exc Acetylcholine\n",
      "AS6-MDL13 2 exc Acetylcholine\n",
      "AS6-MDL14 3 exc Acetylcholine\n",
      "AS6-MDR13 5 exc Acetylcholine\n",
      "AS6-MDR14 9 exc Acetylcholine\n",
      "AS7-MDL15 2 exc Acetylcholine\n",
      "AS7-MDL16 3 exc Acetylcholine\n",
      "AS7-MDR15 2 exc Acetylcholine\n",
      "AS7-MDR16 3 exc Acetylcholine\n",
      "AS8-MDL17 2 exc Acetylcholine\n",
      "AS8-MDL18 3 exc Acetylcholine\n",
      "AS8-MDR17 2 exc Acetylcholine\n",
      "AS8-MDR18 3 exc Acetylcholine\n",
      "AS9-MDL19 3 exc Acetylcholine\n",
      "AS9-MDL20 2 exc Acetylcholine\n",
      "AS9-MDR19 2 exc Acetylcholine\n",
      "AS9-MDR20 3 exc Acetylcholine\n",
      "AS10-MDL20 3 exc Acetylcholine\n",
      "AS10-MDL21 2 exc Acetylcholine\n",
      "AS10-MDR21 3 exc Acetylcholine\n",
      "AS10-MDR22 2 exc Acetylcholine\n",
      "AS11-MDL21 3 exc Acetylcholine\n",
      "AS11-MDL22 2 exc Acetylcholine\n",
      "AS11-MDR22 3 exc Acetylcholine\n",
      "AS11-MDR23 2 exc Acetylcholine\n",
      "DD1-MDL06 1 inh GABA\n",
      "DD1-MDL07 4 inh GABA\n",
      "DD1-MDL08 9 inh GABA\n",
      "DD1-MDL09 13 inh GABA\n",
      "DD1-MDR06 3 inh GABA\n",
      "DD1-MDR07 2 inh GABA\n",
      "DD1-MDR08 10 inh GABA\n",
      "DD1-MDR09 8 inh GABA\n",
      "DD1-MDR10 2 inh GABA\n",
      "DD2-MDL10 4 inh GABA\n",
      "DD2-MDL11 9 inh GABA\n",
      "DD2-MDL12 6 inh GABA\n",
      "DD2-MDR10 2 inh GABA\n",
      "DD2-MDR11 10 inh GABA\n",
      "DD2-MDR12 1 inh GABA\n",
      "DD3-MDL12 4 inh GABA\n",
      "DD3-MDL13 6 inh GABA\n",
      "DD3-MDL14 2 inh GABA\n",
      "DD3-MDL15 5 inh GABA\n",
      "DD3-MDR11 1 inh GABA\n",
      "DD3-MDR12 8 inh GABA\n",
      "DD3-MDR13 8 inh GABA\n",
      "DD3-MDR14 3 inh GABA\n",
      "DD3-MDR15 5 inh GABA\n",
      "DD4-MDL16 5 inh GABA\n",
      "DD4-MDL17 9 inh GABA\n",
      "DD4-MDL18 5 inh GABA\n",
      "DD4-MDR13 1 inh GABA\n",
      "DD4-MDR14 2 inh GABA\n",
      "DD4-MDR15 2 inh GABA\n",
      "DD4-MDR16 5 inh GABA\n",
      "DD4-MDR17 9 inh GABA\n",
      "DD4-MDR18 5 inh GABA\n",
      "DD5-MDL19 5 inh GABA\n",
      "DD5-MDL20 9 inh GABA\n",
      "DD5-MDL21 5 inh GABA\n",
      "DD5-MDR19 5 inh GABA\n",
      "DD5-MDR20 9 inh GABA\n",
      "DD5-MDR21 5 inh GABA\n",
      "DD6-MDL22 5 inh GABA\n",
      "DD6-MDL23 9 inh GABA\n",
      "DD6-MDL24 5 inh GABA\n",
      "DD6-MDR22 5 inh GABA\n",
      "DD6-MDR23 9 inh GABA\n",
      "DD6-MDR24 5 inh GABA\n",
      "VB1-MVL07 2 exc Acetylcholine\n",
      "VB1-MVR07 5 exc Acetylcholine\n",
      "VB1-MVR09 1 exc Acetylcholine\n",
      "VB2-MVL08 2 exc Acetylcholine\n",
      "VB2-MVL09 14 exc Acetylcholine\n",
      "VB2-MVL10 4 exc Acetylcholine\n",
      "VB2-MVL11 1 exc Acetylcholine\n",
      "VB2-MVR08 6 exc Acetylcholine\n",
      "VB2-MVR10 10 exc Acetylcholine\n",
      "VB2-MVR11 6 exc Acetylcholine\n",
      "VB3-MVL10 1 exc Acetylcholine\n",
      "VB3-MVL11 8 exc Acetylcholine\n",
      "VB3-MVL12 8 exc Acetylcholine\n",
      "VB3-MVL13 3 exc Acetylcholine\n",
      "VB3-MVR10 4 exc Acetylcholine\n",
      "VB3-MVR11 6 exc Acetylcholine\n",
      "VB3-MVR12 8 exc Acetylcholine\n",
      "VB3-MVR13 4 exc Acetylcholine\n",
      "VB4-MVL12 3 exc Acetylcholine\n",
      "VB4-MVL13 5 exc Acetylcholine\n",
      "VB4-MVR12 3 exc Acetylcholine\n",
      "VB4-MVR13 3 exc Acetylcholine\n",
      "VB4-MVR14 4 exc Acetylcholine\n",
      "VB5-MVL12 3 exc Acetylcholine\n",
      "VB5-MVL13 1 exc Acetylcholine\n",
      "VB5-MVL14 8 exc Acetylcholine\n",
      "VB5-MVL15 7 exc Acetylcholine\n",
      "VB5-MVR13 7 exc Acetylcholine\n",
      "VB5-MVR14 6 exc Acetylcholine\n",
      "VB5-MVR15 1 exc Acetylcholine\n",
      "VB6-MVL15 4 exc Acetylcholine\n",
      "VB6-MVL16 3 exc Acetylcholine\n",
      "VB6-MVR14 6 exc Acetylcholine\n",
      "VB6-MVR15 12 exc Acetylcholine\n",
      "VB6-MVR16 4 exc Acetylcholine\n",
      "VB7-MVL16 4 exc Acetylcholine\n",
      "VB7-MVL17 4 exc Acetylcholine\n",
      "VB7-MVL18 4 exc Acetylcholine\n",
      "VB7-MVR16 4 exc Acetylcholine\n",
      "VB7-MVR17 4 exc Acetylcholine\n",
      "VB7-MVR18 4 exc Acetylcholine\n",
      "VB8-MVL18 4 exc Acetylcholine\n",
      "VB8-MVL19 4 exc Acetylcholine\n",
      "VB8-MVL20 4 exc Acetylcholine\n",
      "VB8-MVR18 4 exc Acetylcholine\n",
      "VB8-MVR19 4 exc Acetylcholine\n",
      "VB8-MVR20 4 exc Acetylcholine\n",
      "VB9-MVL19 4 exc Acetylcholine\n",
      "VB9-MVL20 4 exc Acetylcholine\n",
      "VB9-MVL21 4 exc Acetylcholine\n",
      "VB9-MVR19 4 exc Acetylcholine\n",
      "VB9-MVR20 4 exc Acetylcholine\n",
      "VB9-MVR21 4 exc Acetylcholine\n",
      "VB10-MVL20 4 exc Acetylcholine\n",
      "VB10-MVL21 4 exc Acetylcholine\n",
      "VB10-MVL22 4 exc Acetylcholine\n",
      "VB10-MVR20 4 exc Acetylcholine\n",
      "VB10-MVR21 4 exc Acetylcholine\n",
      "VB10-MVR22 4 exc Acetylcholine\n",
      "VB11-MVL21 4 exc Acetylcholine\n",
      "VB11-MVL22 4 exc Acetylcholine\n",
      "VB11-MVL23 4 exc Acetylcholine\n",
      "VB11-MVR21 4 exc Acetylcholine\n",
      "VB11-MVR22 4 exc Acetylcholine\n",
      "VB11-MVR23 4 exc Acetylcholine\n",
      "VD1-MVL07 11 inh GABA\n",
      "VD1-MVL08 3 inh GABA\n",
      "VD2-MVL07 2 inh GABA\n",
      "VD2-MVL08 8 inh GABA\n",
      "VD2-MVL09 12 inh GABA\n",
      "VD2-MVR07 3 inh GABA\n",
      "VD2-MVR08 12 inh GABA\n",
      "VD2-MVR09 5 inh GABA\n",
      "VD3-MVL10 6 inh GABA\n",
      "VD3-MVL11 8 inh GABA\n",
      "VD3-MVR10 6 inh GABA\n",
      "VD3-MVR11 12 inh GABA\n",
      "VD4-MVL12 5 inh GABA\n",
      "VD4-MVL13 6 inh GABA\n",
      "VD4-MVR11 4 inh GABA\n",
      "VD4-MVR12 4 inh GABA\n",
      "VD4-MVR13 3 inh GABA\n",
      "VD5-MVL12 4 inh GABA\n",
      "VD5-MVL13 7 inh GABA\n",
      "VD5-MVL14 1 inh GABA\n",
      "VD5-MVR12 3 inh GABA\n",
      "VD5-MVR13 10 inh GABA\n",
      "VD6-MVL13 1 inh GABA\n",
      "VD6-MVL14 10 inh GABA\n",
      "VD6-MVL15 3 inh GABA\n",
      "VD6-MVL16 1 inh GABA\n",
      "VD6-MVR13 4 inh GABA\n",
      "VD6-MVR14 7 inh GABA\n",
      "VD6-MVR15 1 inh GABA\n",
      "VD7-MVL14 1 inh GABA\n",
      "VD7-MVL15 8 inh GABA\n",
      "VD7-MVL16 7 inh GABA\n",
      "VD7-MVR14 6 inh GABA\n",
      "VD7-MVR15 7 inh GABA\n",
      "VD7-MVR16 1 inh GABA\n",
      "VD8-MVL15 4 inh GABA\n",
      "VD8-MVL16 4 inh GABA\n",
      "VD8-MVL17 4 inh GABA\n",
      "VD8-MVR16 4 inh GABA\n",
      "VD8-MVR17 4 inh GABA\n",
      "VD8-MVR18 4 inh GABA\n",
      "VD9-MVL17 4 inh GABA\n",
      "VD9-MVL18 4 inh GABA\n",
      "VD9-MVL19 4 inh GABA\n",
      "VD9-MVR18 4 inh GABA\n",
      "VD9-MVR19 4 inh GABA\n",
      "VD9-MVR20 4 inh GABA\n",
      "VD10-MVL18 4 inh GABA\n",
      "VD10-MVL19 4 inh GABA\n",
      "VD10-MVL20 4 inh GABA\n",
      "VD10-MVR19 4 inh GABA\n",
      "VD10-MVR20 4 inh GABA\n",
      "VD10-MVR21 4 inh GABA\n",
      "VD11-MVL19 4 inh GABA\n",
      "VD11-MVL20 4 inh GABA\n",
      "VD11-MVL21 4 inh GABA\n",
      "VD11-MVR20 4 inh GABA\n",
      "VD11-MVR21 4 inh GABA\n",
      "VD11-MVR22 4 inh GABA\n",
      "VD12-MVL20 4 inh GABA\n",
      "VD12-MVL21 4 inh GABA\n",
      "VD12-MVL22 4 inh GABA\n",
      "VD12-MVR21 4 inh GABA\n",
      "VD12-MVR22 4 inh GABA\n",
      "VD12-MVR23 4 inh GABA\n",
      "VD13-MVL21 4 inh GABA\n",
      "VD13-MVL22 4 inh GABA\n",
      "VD13-MVL23 4 inh GABA\n",
      "VD13-MVR22 4 inh GABA\n",
      "VD13-MVR23 4 inh GABA\n",
      "DD1-MVL08_GJ 2 exc Generic_GJ\n",
      "VD2-MDL09_GJ 1 exc Generic_GJ\n",
      "MDL01-MDL02_GJ 15 exc Generic_GJ\n",
      "MDL01-MDL03_GJ 15 exc Generic_GJ\n",
      "MDL02-MDL01_GJ 15 exc Generic_GJ\n",
      "MDL02-MDL03_GJ 15 exc Generic_GJ\n",
      "MDL03-MDL01_GJ 15 exc Generic_GJ\n",
      "MDL03-MDL02_GJ 15 exc Generic_GJ\n",
      "MDL03-MDL04_GJ 15 exc Generic_GJ\n",
      "MDL04-MDL03_GJ 15 exc Generic_GJ\n",
      "MDL04-MDL05_GJ 15 exc Generic_GJ\n",
      "MDL05-MDL04_GJ 15 exc Generic_GJ\n",
      "MDL05-MDL06_GJ 15 exc Generic_GJ\n",
      "MDL06-MDL05_GJ 15 exc Generic_GJ\n",
      "MDL06-MDL07_GJ 15 exc Generic_GJ\n",
      "MDL07-MDL06_GJ 15 exc Generic_GJ\n",
      "MDL07-MDL08_GJ 15 exc Generic_GJ\n",
      "MDL08-MDL07_GJ 15 exc Generic_GJ\n",
      "MDL08-MDL09_GJ 15 exc Generic_GJ\n",
      "MDL09-MDL08_GJ 15 exc Generic_GJ\n",
      "MDL09-MDL10_GJ 15 exc Generic_GJ\n",
      "MDL10-MDL09_GJ 15 exc Generic_GJ\n",
      "MDL10-MDL11_GJ 15 exc Generic_GJ\n",
      "MDL11-MDL10_GJ 15 exc Generic_GJ\n",
      "MDL11-MDL12_GJ 15 exc Generic_GJ\n",
      "MDL12-MDL11_GJ 15 exc Generic_GJ\n",
      "MDL12-MDL13_GJ 15 exc Generic_GJ\n",
      "MDL13-MDL12_GJ 15 exc Generic_GJ\n",
      "MDL13-MDL14_GJ 15 exc Generic_GJ\n",
      "MDL14-MDL13_GJ 15 exc Generic_GJ\n",
      "MDL14-MDL15_GJ 15 exc Generic_GJ\n",
      "MDL15-MDL14_GJ 15 exc Generic_GJ\n",
      "MDL15-MDL16_GJ 15 exc Generic_GJ\n",
      "MDL16-MDL15_GJ 15 exc Generic_GJ\n",
      "MDL16-MDL17_GJ 15 exc Generic_GJ\n",
      "MDL17-MDL16_GJ 15 exc Generic_GJ\n",
      "MDL17-MDL18_GJ 15 exc Generic_GJ\n",
      "MDL18-MDL17_GJ 15 exc Generic_GJ\n",
      "MDL18-MDL19_GJ 15 exc Generic_GJ\n",
      "MDL19-MDL18_GJ 15 exc Generic_GJ\n",
      "MDL19-MDL20_GJ 15 exc Generic_GJ\n",
      "MDL20-MDL19_GJ 15 exc Generic_GJ\n",
      "MDL20-MDL21_GJ 15 exc Generic_GJ\n",
      "MDL21-MDL20_GJ 15 exc Generic_GJ\n",
      "MDL21-MDL22_GJ 15 exc Generic_GJ\n",
      "MDL22-MDL21_GJ 15 exc Generic_GJ\n",
      "MDL22-MDL23_GJ 15 exc Generic_GJ\n",
      "MDL23-MDL22_GJ 15 exc Generic_GJ\n",
      "MDL23-MDL24_GJ 15 exc Generic_GJ\n",
      "MDL24-MDL23_GJ 15 exc Generic_GJ\n",
      "MDR01-MDR02_GJ 15 exc Generic_GJ\n",
      "MDR01-MDR03_GJ 15 exc Generic_GJ\n",
      "MDR02-MDR01_GJ 15 exc Generic_GJ\n",
      "MDR02-MDR03_GJ 15 exc Generic_GJ\n",
      "MDR03-MDR01_GJ 15 exc Generic_GJ\n",
      "MDR03-MDR02_GJ 15 exc Generic_GJ\n",
      "MDR03-MDR04_GJ 15 exc Generic_GJ\n",
      "MDR04-MDR03_GJ 15 exc Generic_GJ\n",
      "MDR04-MDR05_GJ 15 exc Generic_GJ\n",
      "MDR05-MDR04_GJ 15 exc Generic_GJ\n",
      "MDR05-MDR06_GJ 15 exc Generic_GJ\n",
      "MDR06-MDR05_GJ 15 exc Generic_GJ\n",
      "MDR06-MDR07_GJ 15 exc Generic_GJ\n",
      "MDR07-MDR06_GJ 15 exc Generic_GJ\n",
      "MDR07-MDR08_GJ 15 exc Generic_GJ\n",
      "MDR08-MDR07_GJ 15 exc Generic_GJ\n",
      "MDR08-MDR09_GJ 15 exc Generic_GJ\n",
      "MDR09-MDR08_GJ 15 exc Generic_GJ\n",
      "MDR09-MDR10_GJ 15 exc Generic_GJ\n",
      "MDR10-MDR09_GJ 15 exc Generic_GJ\n",
      "MDR10-MDR11_GJ 15 exc Generic_GJ\n",
      "MDR11-MDR10_GJ 15 exc Generic_GJ\n",
      "MDR11-MDR12_GJ 15 exc Generic_GJ\n",
      "MDR12-MDR11_GJ 15 exc Generic_GJ\n",
      "MDR12-MDR13_GJ 15 exc Generic_GJ\n",
      "MDR13-MDR12_GJ 15 exc Generic_GJ\n",
      "MDR13-MDR14_GJ 15 exc Generic_GJ\n",
      "MDR14-MDR13_GJ 15 exc Generic_GJ\n",
      "MDR14-MDR15_GJ 15 exc Generic_GJ\n",
      "MDR15-MDR14_GJ 15 exc Generic_GJ\n",
      "MDR15-MDR16_GJ 15 exc Generic_GJ\n",
      "MDR16-MDR15_GJ 15 exc Generic_GJ\n",
      "MDR16-MDR17_GJ 15 exc Generic_GJ\n",
      "MDR17-MDR16_GJ 15 exc Generic_GJ\n",
      "MDR17-MDR18_GJ 15 exc Generic_GJ\n",
      "MDR18-MDR17_GJ 15 exc Generic_GJ\n",
      "MDR18-MDR19_GJ 15 exc Generic_GJ\n",
      "MDR19-MDR18_GJ 15 exc Generic_GJ\n",
      "MDR19-MDR20_GJ 15 exc Generic_GJ\n",
      "MDR20-MDR19_GJ 15 exc Generic_GJ\n",
      "MDR20-MDR21_GJ 15 exc Generic_GJ\n",
      "MDR21-MDR20_GJ 15 exc Generic_GJ\n",
      "MDR21-MDR22_GJ 15 exc Generic_GJ\n",
      "MDR22-MDR21_GJ 15 exc Generic_GJ\n",
      "MDR22-MDR23_GJ 15 exc Generic_GJ\n",
      "MDR23-MDR22_GJ 15 exc Generic_GJ\n",
      "MDR23-MDR24_GJ 15 exc Generic_GJ\n",
      "MDR24-MDR23_GJ 15 exc Generic_GJ\n",
      "MVL01-MVL02_GJ 15 exc Generic_GJ\n",
      "MVL01-MVL03_GJ 15 exc Generic_GJ\n",
      "MVL02-MVL01_GJ 15 exc Generic_GJ\n",
      "MVL02-MVL03_GJ 15 exc Generic_GJ\n",
      "MVL03-MVL01_GJ 15 exc Generic_GJ\n",
      "MVL03-MVL02_GJ 15 exc Generic_GJ\n",
      "MVL03-MVL04_GJ 15 exc Generic_GJ\n",
      "MVL04-MVL03_GJ 15 exc Generic_GJ\n",
      "MVL04-MVL05_GJ 15 exc Generic_GJ\n",
      "MVL05-MVL04_GJ 15 exc Generic_GJ\n",
      "MVL05-MVL06_GJ 15 exc Generic_GJ\n",
      "MVL06-MVL05_GJ 15 exc Generic_GJ\n",
      "MVL06-MVL07_GJ 15 exc Generic_GJ\n",
      "MVL07-MVL06_GJ 15 exc Generic_GJ\n",
      "MVL07-MVL08_GJ 15 exc Generic_GJ\n",
      "MVL08-MVL07_GJ 15 exc Generic_GJ\n",
      "MVL08-MVL09_GJ 15 exc Generic_GJ\n",
      "MVL09-MVL08_GJ 15 exc Generic_GJ\n",
      "MVL09-MVL10_GJ 15 exc Generic_GJ\n",
      "MVL09-MVR08_GJ 2 exc Generic_GJ\n",
      "MVL10-MVL09_GJ 15 exc Generic_GJ\n",
      "MVL10-MVL11_GJ 15 exc Generic_GJ\n",
      "MVL11-MVL10_GJ 15 exc Generic_GJ\n",
      "MVL11-MVL12_GJ 15 exc Generic_GJ\n",
      "MVL12-MVL11_GJ 15 exc Generic_GJ\n",
      "MVL12-MVL13_GJ 15 exc Generic_GJ\n",
      "MVL13-MVL12_GJ 15 exc Generic_GJ\n",
      "MVL13-MVL14_GJ 15 exc Generic_GJ\n",
      "MVL14-MVL13_GJ 15 exc Generic_GJ\n",
      "MVL14-MVL15_GJ 15 exc Generic_GJ\n",
      "MVL15-MVL14_GJ 15 exc Generic_GJ\n",
      "MVL15-MVL16_GJ 15 exc Generic_GJ\n",
      "MVL16-MVL15_GJ 15 exc Generic_GJ\n",
      "MVL16-MVL17_GJ 15 exc Generic_GJ\n",
      "MVL17-MVL16_GJ 15 exc Generic_GJ\n",
      "MVL17-MVL18_GJ 15 exc Generic_GJ\n",
      "MVL18-MVL17_GJ 15 exc Generic_GJ\n",
      "MVL18-MVL19_GJ 15 exc Generic_GJ\n",
      "MVL19-MVL18_GJ 15 exc Generic_GJ\n",
      "MVL19-MVL20_GJ 15 exc Generic_GJ\n",
      "MVL20-MVL19_GJ 15 exc Generic_GJ\n",
      "MVL20-MVL21_GJ 15 exc Generic_GJ\n",
      "MVL21-MVL20_GJ 15 exc Generic_GJ\n",
      "MVL21-MVL22_GJ 15 exc Generic_GJ\n",
      "MVL22-MVL21_GJ 15 exc Generic_GJ\n",
      "MVL22-MVL23_GJ 15 exc Generic_GJ\n",
      "MVL23-MVL22_GJ 15 exc Generic_GJ\n",
      "MVR01-MVR02_GJ 15 exc Generic_GJ\n",
      "MVR01-MVR03_GJ 15 exc Generic_GJ\n",
      "MVR02-MVR01_GJ 15 exc Generic_GJ\n",
      "MVR02-MVR03_GJ 15 exc Generic_GJ\n",
      "MVR03-MVR01_GJ 15 exc Generic_GJ\n",
      "MVR03-MVR02_GJ 15 exc Generic_GJ\n",
      "MVR03-MVR04_GJ 15 exc Generic_GJ\n",
      "MVR04-MVR03_GJ 15 exc Generic_GJ\n",
      "MVR04-MVR05_GJ 15 exc Generic_GJ\n",
      "MVR05-MVR04_GJ 15 exc Generic_GJ\n",
      "MVR05-MVR06_GJ 15 exc Generic_GJ\n",
      "MVR06-MVR05_GJ 15 exc Generic_GJ\n",
      "MVR06-MVR07_GJ 15 exc Generic_GJ\n",
      "MVR07-MVR06_GJ 15 exc Generic_GJ\n",
      "MVR07-MVR08_GJ 15 exc Generic_GJ\n",
      "MVR08-MVL09_GJ 2 exc Generic_GJ\n",
      "MVR08-MVR07_GJ 15 exc Generic_GJ\n",
      "MVR08-MVR09_GJ 15 exc Generic_GJ\n",
      "MVR09-MVR08_GJ 15 exc Generic_GJ\n",
      "MVR09-MVR10_GJ 15 exc Generic_GJ\n",
      "MVR10-MVR09_GJ 15 exc Generic_GJ\n",
      "MVR10-MVR11_GJ 15 exc Generic_GJ\n",
      "MVR11-MVR10_GJ 15 exc Generic_GJ\n",
      "MVR11-MVR12_GJ 15 exc Generic_GJ\n",
      "MVR12-MVR11_GJ 15 exc Generic_GJ\n",
      "MVR12-MVR13_GJ 15 exc Generic_GJ\n",
      "MVR13-MVR12_GJ 15 exc Generic_GJ\n",
      "MVR13-MVR14_GJ 15 exc Generic_GJ\n",
      "MVR14-MVR13_GJ 15 exc Generic_GJ\n",
      "MVR14-MVR15_GJ 15 exc Generic_GJ\n",
      "MVR15-MVR14_GJ 15 exc Generic_GJ\n",
      "MVR15-MVR16_GJ 15 exc Generic_GJ\n",
      "MVR16-MVR15_GJ 15 exc Generic_GJ\n",
      "MVR16-MVR17_GJ 15 exc Generic_GJ\n",
      "MVR17-MVR16_GJ 15 exc Generic_GJ\n",
      "MVR17-MVR18_GJ 15 exc Generic_GJ\n",
      "MVR18-MVR17_GJ 15 exc Generic_GJ\n",
      "MVR18-MVR19_GJ 15 exc Generic_GJ\n",
      "MVR19-MVR18_GJ 15 exc Generic_GJ\n",
      "MVR19-MVR20_GJ 15 exc Generic_GJ\n",
      "MVR20-MVR19_GJ 15 exc Generic_GJ\n",
      "MVR20-MVR21_GJ 15 exc Generic_GJ\n",
      "MVR21-MVR20_GJ 15 exc Generic_GJ\n",
      "MVR21-MVR22_GJ 15 exc Generic_GJ\n",
      "MVR22-MVR21_GJ 15 exc Generic_GJ\n",
      "MVR22-MVR23_GJ 15 exc Generic_GJ\n",
      "MVR23-MVR22_GJ 15 exc Generic_GJ\n",
      "c302      >>>  Writing generated network to: /home/developer/forks/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C2_AVB_VB_DB_VD_DD_AS.nml\n",
      "Validating examples/c302_C2_AVB_VB_DB_VD_DD_AS.nml against /usr/local/lib/python2.7/dist-packages/neuroml/nml/NeuroML_v2beta4.xsd\n",
      "It's valid!\n",
      "(Re)written network file to: examples/c302_C2_AVB_VB_DB_VD_DD_AS.nml\n",
      "c302      >>>  Finished simulation of LEMS_c302_C2_AVB_VB_DB_VD_DD_AS.xml and have reloaded results\n",
      "c302      >>>  Reloaded data: ['AS4/0/GenericNeuronCell/caConc', 'MVL16/0/GenericMuscleCell/caConc', 'MDR14/0/GenericMuscleCell/caConc', 'MDR20/0/GenericMuscleCell/caConc', 'MDR14/0/GenericMuscleCell/v', 'MVL19/0/GenericMuscleCell/caConc', 'MVL24/0/GenericMuscleCell/v', 'MVL22/0/GenericMuscleCell/v', 'DB5/0/GenericNeuronCell/v', 'MVR02/0/GenericMuscleCell/v', 'MDR21/0/GenericMuscleCell/caConc', 'MDL08/0/GenericMuscleCell/v', 'VB2/0/GenericNeuronCell/caConc', 'MVR09/0/GenericMuscleCell/caConc', 'MDR10/0/GenericMuscleCell/v', 'MDR03/0/GenericMuscleCell/v', 'MVR05/0/GenericMuscleCell/v', 'VD1/0/GenericNeuronCell/v', 'VB11/0/GenericNeuronCell/v', 'MDR18/0/GenericMuscleCell/v', 'VD13/0/GenericNeuronCell/caConc', 'MDL04/0/GenericMuscleCell/caConc', 'MVL10/0/GenericMuscleCell/v', 'MDR13/0/GenericMuscleCell/caConc', 'DD2/0/GenericNeuronCell/caConc', 'DD6/0/GenericNeuronCell/v', 'VB1/0/GenericNeuronCell/v', 'MDR11/0/GenericMuscleCell/v', 'VD4/0/GenericNeuronCell/caConc', 'MVL17/0/GenericMuscleCell/v', 'MVR04/0/GenericMuscleCell/v', 'MVL05/0/GenericMuscleCell/v', 'MVR19/0/GenericMuscleCell/caConc', 'AS7/0/GenericNeuronCell/caConc', 'MVR10/0/GenericMuscleCell/v', 'AS1/0/GenericNeuronCell/v', 'VB1/0/GenericNeuronCell/caConc', 'AS8/0/GenericNeuronCell/v', 'MDL23/0/GenericMuscleCell/v', 'MDR03/0/GenericMuscleCell/caConc', 'MVL07/0/GenericMuscleCell/caConc', 'MDL06/0/GenericMuscleCell/v', 'MDR18/0/GenericMuscleCell/caConc', 'MDL11/0/GenericMuscleCell/v', 'MDR16/0/GenericMuscleCell/v', 'MVR01/0/GenericMuscleCell/v', 'VB7/0/GenericNeuronCell/v', 'VD4/0/GenericNeuronCell/v', 'MVR19/0/GenericMuscleCell/v', 'DB6/0/GenericNeuronCell/v', 'DD3/0/GenericNeuronCell/caConc', 'DD1/0/GenericNeuronCell/caConc', 'MDL16/0/GenericMuscleCell/caConc', 'DB4/0/GenericNeuronCell/v', 'MDL24/0/GenericMuscleCell/v', 'AS2/0/GenericNeuronCell/caConc', 'AS7/0/GenericNeuronCell/v', 'MVR21/0/GenericMuscleCell/v', 'DB1/0/GenericNeuronCell/v', 'VD8/0/GenericNeuronCell/caConc', 'MVL01/0/GenericMuscleCell/caConc', 'DD5/0/GenericNeuronCell/v', 'VB3/0/GenericNeuronCell/v', 'VB2/0/GenericNeuronCell/v', 'MDR02/0/GenericMuscleCell/v', 't', 'DB4/0/GenericNeuronCell/caConc', 'MDL19/0/GenericMuscleCell/caConc', 'MDL16/0/GenericMuscleCell/v', 'AS8/0/GenericNeuronCell/caConc', 'MDR11/0/GenericMuscleCell/caConc', 'MVL05/0/GenericMuscleCell/caConc', 'VB5/0/GenericNeuronCell/caConc', 'VB3/0/GenericNeuronCell/caConc', 'AVBL/0/GenericNeuronCell/v', 'MVL20/0/GenericMuscleCell/caConc', 'VB9/0/GenericNeuronCell/v', 'DB3/0/GenericNeuronCell/caConc', 'MDR16/0/GenericMuscleCell/caConc', 'VD11/0/GenericNeuronCell/caConc', 'MDL24/0/GenericMuscleCell/caConc', 'MDR05/0/GenericMuscleCell/v', 'AS3/0/GenericNeuronCell/caConc', 'AS5/0/GenericNeuronCell/v', 'MDL13/0/GenericMuscleCell/v', 'MDL11/0/GenericMuscleCell/caConc', 'MDR09/0/GenericMuscleCell/v', 'MVL14/0/GenericMuscleCell/v', 'MDR15/0/GenericMuscleCell/v', 'VD6/0/GenericNeuronCell/caConc', 'MVR22/0/GenericMuscleCell/v', 'VD12/0/GenericNeuronCell/v', 'MDL12/0/GenericMuscleCell/caConc', 'VB6/0/GenericNeuronCell/v', 'MDL20/0/GenericMuscleCell/v', 'MVR18/0/GenericMuscleCell/v', 'VD10/0/GenericNeuronCell/v', 'MVL22/0/GenericMuscleCell/caConc', 'MVL03/0/GenericMuscleCell/caConc', 'MDR13/0/GenericMuscleCell/v', 'MVL06/0/GenericMuscleCell/v', 'MVL20/0/GenericMuscleCell/v', 'MVL04/0/GenericMuscleCell/v', 'MDL08/0/GenericMuscleCell/caConc', 'MDR12/0/GenericMuscleCell/v', 'MVR05/0/GenericMuscleCell/caConc', 'MDL06/0/GenericMuscleCell/caConc', 'MVR23/0/GenericMuscleCell/v', 'AS6/0/GenericNeuronCell/caConc', 'AS3/0/GenericNeuronCell/v', 'VB11/0/GenericNeuronCell/caConc', 'MDL03/0/GenericMuscleCell/caConc', 'MVL19/0/GenericMuscleCell/v', 'MDR05/0/GenericMuscleCell/caConc', 'VD10/0/GenericNeuronCell/caConc', 'MVL16/0/GenericMuscleCell/v', 'AS5/0/GenericNeuronCell/caConc', 'MDL17/0/GenericMuscleCell/caConc', 'MVL23/0/GenericMuscleCell/v', 'MDR04/0/GenericMuscleCell/caConc', 'MVR16/0/GenericMuscleCell/caConc', 'MDL05/0/GenericMuscleCell/caConc', 'AS9/0/GenericNeuronCell/v', 'MDR15/0/GenericMuscleCell/caConc', 'DB7/0/GenericNeuronCell/v', 'MDR06/0/GenericMuscleCell/v', 'VB4/0/GenericNeuronCell/v', 'MVR14/0/GenericMuscleCell/caConc', 'MVR17/0/GenericMuscleCell/v', 'MDL18/0/GenericMuscleCell/v', 'MVR07/0/GenericMuscleCell/v', 'MVR13/0/GenericMuscleCell/caConc', 'MDL14/0/GenericMuscleCell/caConc', 'VB9/0/GenericNeuronCell/caConc', 'MDL23/0/GenericMuscleCell/caConc', 'MVL18/0/GenericMuscleCell/v', 'MVL15/0/GenericMuscleCell/caConc', 'MDR01/0/GenericMuscleCell/caConc', 'MDL03/0/GenericMuscleCell/v', 'MVL23/0/GenericMuscleCell/caConc', 'VD9/0/GenericNeuronCell/v', 'MVL09/0/GenericMuscleCell/v', 'MVR06/0/GenericMuscleCell/v', 'MDL01/0/GenericMuscleCell/caConc', 'MVL24/0/GenericMuscleCell/caConc', 'MDR12/0/GenericMuscleCell/caConc', 'AS2/0/GenericNeuronCell/v', 'MVL08/0/GenericMuscleCell/caConc', 'VB5/0/GenericNeuronCell/v', 'MDR10/0/GenericMuscleCell/caConc', 'DB7/0/GenericNeuronCell/caConc', 'MDR23/0/GenericMuscleCell/caConc', 'DB1/0/GenericNeuronCell/caConc', 'MVR16/0/GenericMuscleCell/v', 'MDL18/0/GenericMuscleCell/caConc', 'MDL10/0/GenericMuscleCell/caConc', 'MVR02/0/GenericMuscleCell/caConc', 'MDL07/0/GenericMuscleCell/caConc', 'MVL06/0/GenericMuscleCell/caConc', 'DD2/0/GenericNeuronCell/v', 'MDR20/0/GenericMuscleCell/v', 'MDR23/0/GenericMuscleCell/v', 'MDL22/0/GenericMuscleCell/caConc', 'MVL10/0/GenericMuscleCell/caConc', 'MVR08/0/GenericMuscleCell/v', 'MVR20/0/GenericMuscleCell/v', 'AS11/0/GenericNeuronCell/v', 'MDR04/0/GenericMuscleCell/v', 'MVL09/0/GenericMuscleCell/caConc', 'MVL21/0/GenericMuscleCell/caConc', 'MDR24/0/GenericMuscleCell/v', 'AS10/0/GenericNeuronCell/v', 'VD5/0/GenericNeuronCell/caConc', 'VB4/0/GenericNeuronCell/caConc', 'VD1/0/GenericNeuronCell/caConc', 'MDR19/0/GenericMuscleCell/v', 'MVL15/0/GenericMuscleCell/v', 'VB8/0/GenericNeuronCell/caConc', 'MVL13/0/GenericMuscleCell/caConc', 'MDL02/0/GenericMuscleCell/v', 'MVL02/0/GenericMuscleCell/v', 'AS10/0/GenericNeuronCell/caConc', 'MDR07/0/GenericMuscleCell/caConc', 'MVR11/0/GenericMuscleCell/caConc', 'MVR18/0/GenericMuscleCell/caConc', 'MDL09/0/GenericMuscleCell/v', 'MDR07/0/GenericMuscleCell/v', 'DD4/0/GenericNeuronCell/caConc', 'VD13/0/GenericNeuronCell/v', 'MVR09/0/GenericMuscleCell/v', 'MDL04/0/GenericMuscleCell/v', 'DB2/0/GenericNeuronCell/caConc', 'MVL02/0/GenericMuscleCell/caConc', 'MVL14/0/GenericMuscleCell/caConc', 'MDR17/0/GenericMuscleCell/caConc', 'DB2/0/GenericNeuronCell/v', 'MDL13/0/GenericMuscleCell/caConc', 'MDR06/0/GenericMuscleCell/caConc', 'VD8/0/GenericNeuronCell/v', 'MDL22/0/GenericMuscleCell/v', 'MDR08/0/GenericMuscleCell/v', 'MDL01/0/GenericMuscleCell/v', 'MVL01/0/GenericMuscleCell/v', 'MDL12/0/GenericMuscleCell/v', 'MVR15/0/GenericMuscleCell/v', 'MVL04/0/GenericMuscleCell/caConc', 'AVBL/0/GenericNeuronCell/caConc', 'DB3/0/GenericNeuronCell/v', 'MVL18/0/GenericMuscleCell/caConc', 'MDL09/0/GenericMuscleCell/caConc', 'MDL20/0/GenericMuscleCell/caConc', 'VD7/0/GenericNeuronCell/caConc', 'AS4/0/GenericNeuronCell/v', 'MVR11/0/GenericMuscleCell/v', 'MVL12/0/GenericMuscleCell/caConc', 'VD3/0/GenericNeuronCell/caConc', 'VD2/0/GenericNeuronCell/caConc', 'AVBR/0/GenericNeuronCell/v', 'DB6/0/GenericNeuronCell/caConc', 'DD1/0/GenericNeuronCell/v', 'MVR06/0/GenericMuscleCell/caConc', 'MVL07/0/GenericMuscleCell/v', 'MDL02/0/GenericMuscleCell/caConc', 'DB5/0/GenericNeuronCell/caConc', 'MDL21/0/GenericMuscleCell/v', 'MVR07/0/GenericMuscleCell/caConc', 'MVR23/0/GenericMuscleCell/caConc', 'MDR17/0/GenericMuscleCell/v', 'MDR09/0/GenericMuscleCell/caConc', 'MVL08/0/GenericMuscleCell/v', 'MVR01/0/GenericMuscleCell/caConc', 'DD5/0/GenericNeuronCell/caConc', 'MVR03/0/GenericMuscleCell/v', 'MVR17/0/GenericMuscleCell/caConc', 'MVR22/0/GenericMuscleCell/caConc', 'MVR13/0/GenericMuscleCell/v', 'MVR21/0/GenericMuscleCell/caConc', 'MVR04/0/GenericMuscleCell/caConc', 'MDL05/0/GenericMuscleCell/v', 'VD5/0/GenericNeuronCell/v', 'AVBR/0/GenericNeuronCell/caConc', 'MDL17/0/GenericMuscleCell/v', 'VD11/0/GenericNeuronCell/v', 'VD9/0/GenericNeuronCell/caConc', 'MDL15/0/GenericMuscleCell/caConc', 'MVR10/0/GenericMuscleCell/caConc', 'MDL14/0/GenericMuscleCell/v', 'MDR19/0/GenericMuscleCell/caConc', 'VD3/0/GenericNeuronCell/v', 'MVL03/0/GenericMuscleCell/v', 'DD4/0/GenericNeuronCell/v', 'MDL21/0/GenericMuscleCell/caConc', 'MVL17/0/GenericMuscleCell/caConc', 'MVL21/0/GenericMuscleCell/v', 'VD12/0/GenericNeuronCell/caConc', 'MDR01/0/GenericMuscleCell/v', 'MVR12/0/GenericMuscleCell/v', 'DD3/0/GenericNeuronCell/v', 'MVL11/0/GenericMuscleCell/v', 'MDR02/0/GenericMuscleCell/caConc', 'MDR24/0/GenericMuscleCell/caConc', 'MVL11/0/GenericMuscleCell/caConc', 'DD6/0/GenericNeuronCell/caConc', 'MDL10/0/GenericMuscleCell/v', 'VD2/0/GenericNeuronCell/v', 'MVR20/0/GenericMuscleCell/caConc', 'MDL07/0/GenericMuscleCell/v', 'MVR08/0/GenericMuscleCell/caConc', 'MDR22/0/GenericMuscleCell/caConc', 'VD6/0/GenericNeuronCell/v', 'MVR12/0/GenericMuscleCell/caConc', 'AS11/0/GenericNeuronCell/caConc', 'MVL13/0/GenericMuscleCell/v', 'MDL15/0/GenericMuscleCell/v', 'MVR03/0/GenericMuscleCell/caConc', 'MVR14/0/GenericMuscleCell/v', 'MDR08/0/GenericMuscleCell/caConc', 'VB10/0/GenericNeuronCell/v', 'MDR22/0/GenericMuscleCell/v', 'MDL19/0/GenericMuscleCell/v', 'MVL12/0/GenericMuscleCell/v', 'MDR21/0/GenericMuscleCell/v', 'VB7/0/GenericNeuronCell/caConc', 'VB6/0/GenericNeuronCell/caConc', 'VB10/0/GenericNeuronCell/caConc', 'AS1/0/GenericNeuronCell/caConc', 'VB8/0/GenericNeuronCell/v', 'VD7/0/GenericNeuronCell/v', 'AS6/0/GenericNeuronCell/v', 'MVR15/0/GenericMuscleCell/caConc', 'AS9/0/GenericNeuronCell/caConc']\n",
      "c302      >>>  All cells: ['VD13', 'VD12', 'VD11', 'VD10', 'VD9', 'VD8', 'VD7', 'VD6', 'VD5', 'VD4', 'VD3', 'VD2', 'VD1', 'VB11', 'VB10', 'VB9', 'VB8', 'VB7', 'VB6', 'VB5', 'VB4', 'VB3', 'VB2', 'VB1', 'DD6', 'DD5', 'DD4', 'DD3', 'DD2', 'DD1', 'DB7', 'DB6', 'DB5', 'DB4', 'DB3', 'DB2', 'DB1', 'AVBR', 'AVBL', 'AS11', 'AS10', 'AS9', 'AS8', 'AS7', 'AS6', 'AS5', 'AS4', 'AS3', 'AS2', 'AS1']\n",
      "c302      >>>  Plotting neuron voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 50 neuron(s) (AVB_VB_DB_VD_DD_AS C2)\n",
      "c302      >>>  Plotting muscle voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 95 muscle(s) (AVB_VB_DB_VD_DD_AS C2)\n"
     ]
    },
    {
     "data": {
      "image/png": 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3E7DNGbkUOGZ2cZMip8yo4gTS/gKl4QJKYcEDYnTbMCNLhti8sEwyVKIwUKbQ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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f89019753d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3zDPPmC+qrNlwGq973esIBQOb6hobWbX+VFatP7VgGb7vMdLfx1BPN/GhIVKJ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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f88d5413950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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mFVYlPQAkFauDEWODlKla2dmIlGoEkSpVSZjFkA5/JksjHaebpCr0xTXqaTwi\na3NDQAAja+tMh7o6aev+wFJV3a3ZRhG5FtikYNNJqnr5aA2LyE7AFzGlbxFnAZ/FHvI/i03WP3Ks\nEy6z0WlncuiWmPjgZeGYeZiXMyssI3DJtOM43UAVaunkBKFUdeF4jhORLYBLgXep6r1N2n4ss/+5\nwFWttF1mozMRT+cLWKitF9gDuLvdzlMVVg2Yh7M2qdAX1+mL6/TEdSqSUg3S6YY0M848PUVhABPK\nHd90nOlMSkQ1HiCJy1W/ysJr3bsziMh8TGD1iUwpmKL9NlXVJeHlQZgwYUzKanTanhwqIu/GPpiT\nVTUVkf8FnlLVC4o6cCGB4zjdohNhdxE5CPgGsBHwUxG5XVX3AY4DtgM+JSKNeYyvV9XHReQ84GxV\nvQX4kojsikWW7geOaaXfshqddieH3gucjc3tOVpEHgW+BjwgIveq6pX5DtoJrw0O7DH0f6Ji/pZG\nwJAM0xpv/hQz3vjxTJ7B7DiTRWOsdTrTKcm0ql6KhdDy608BTmlyzFGZvw8dT79lNTrjqadzpYjs\nBWylqpeJyABwFE1cQvd0HMfpDp4GZzoynsmhH2NISADwJLANsAPw93wHLiRwHKdb5NV2M4myGh2Y\ngJBARDbA0uAI8GBR41Pl6cRTJMecalnnTH7ycp5dTPcQm6nXPPfadKSVyaFgIoN/ACdhIbk+YCfM\n2GyBeT8j8MmhjuN0gzYnh5aOme7pgGUf2BM4FTgPuAMb1/lQmPx0a1Hj4/F0BrNJSyNLbTooJkjV\nvJFh+dVESaYgm2xZL0bHcQwPr00/WpVMrwSeC1yLzZa9BDMDW4V2LmrWgY/pOI7TDTqY8LMrlNXo\ntCqZvh54BvNyzsZq6AD8v+DJ/D9MVr1QVZ/o7FtwHMcpZiaPoZbV6LQsmcZCaw8ArwEOCccfHBKB\nniMi3wBW5ztwybTjON1AVai70Zl2tCqZ3h0LvR2AVQs9MRy/REReARwfXo/IoFrm8Np0V+c4jjM6\nM/n3W1ajA60JCd4L7Ad8HPgrw1VtewBbYsq3dYGnhjXgno7jOF3Ax3SmL61kmT6LIU/nQDKqNlX9\niog8jhmWEb5smT0dx3HKjRud6cmEPB0ROQXYACtzsCrf+Hg8nUZ9jsnabyJ0og/HKSvT+abemKcz\nUymz0ZmQpwO8HKgBPcBmWFLQoQbc03Ecp0v4PJ3pyUTHdL6HGZveZkWKWiUSq0IYoVSihJ6oTjXU\nzKlma+etKCQhAAAgAElEQVQE7yOeZl5IMoOfqhynQcN7SDUa/A0WlRDotpehCvVJKuI2HSmr0Wl1\ncuhbsKJthwJvwzISCCaZvhBARPpFZFtVvS/bgQsJHMfpFt02fFNJWY3OZEwO/TBmkOYAZ+Y7aCW8\n1hMnPGf2Sp63zlI273mazapPs368kvnxGuZIjaooVZRYIEbGTHSXd9eSXHLQpOAsRkvz2YlCUADp\n9HLcHAeAtRrzTNrLsnQ2TyXrsCLpY0XaR39aZW1apa4xtTQi1Wjwt5K/2RdN0pzq5Lo+pjM9mfDk\nUKwy3pXYeFAt34F7Oo7jdAt1ozPtmPDkUGBXhkqs3goMqwXuQgLHcbqFCwmmJxMVEvwnZpieBv4v\n33irno4JCEwsEElKLCkxKTEWWusRoSpChBC3cCFlQ2ppPryWe13k5Gf3qdLcVhaF6sbNzP19OKUm\nYSCq06N1qpIQiRJjgp+YlDpxyN7RXqupRlMaYlPtzJiOiLwFOBkrZLm7qt4S1m8N/AW7ZwLcpKrH\nFhy/PvBDYGvsAf5fVfXpsfots0SilXo6ZwGfBL4UXgtDt8itgV2wD2tEfQGvp+M4TncQkjRqaZkg\nd2JDDTcUbLtXVXcNywiDE/gE8CtV3R74VXg9Js9mT2c1lgbnZkxsMLyBFjydNQNV7nlqA+5fvh59\nlTqzqwOsUx1gdmWAWXGNWVGN3rhORRKqYYkbHhE67GkpX1F0InRKQOA405mGQKCWVqhpTKpi/xOR\nDBZCG37jzuctnGrRQDM6Maajqn8BEBl3Xwdi0SKAC7Fx9OOb7dygrJ7OIkxx9hHg58DvgfNV9Qzg\na8BahiTTBwMfBJYBnwe+ACwHNlDVXTArv1O+A/d0HMfpBo3ca12uHLqNiNwmIteLyKua7LOxqi4J\nfz8KbNxKw2X1dCYsmQY+JCJXhf1f3e4JRKKsN2c1z13naTaftYwNqyuYG61lbryWOVE/s6WfPqnR\nM+jlpPSQEgkhrgxx5poZbbwnP5YzuL6JczTeZzP3kJyZxOo05sl0Nk/U12VZMpvlyWxWpz2sTatA\nPHjTTgokymPVs5lSD0htXKdFNhSRWzKvzwkiKABE5Fpgk4LjTlLVy5u0uQSrrvykiLwUuExEdlLV\nERGhwVNWVZHWZr2X1ehMhmR6laq+Q0S+DGxLTkzgkmnHcbpFG+q1paq6W7ONqrqw3b5VtZ9Q7kVV\nbxWRe4HnA7fkdn1MRDZV1SUisinweCvtl9XojEcyvQ6WweBhLNR2g4j8EhvXuTjfwViSaQWSNGIg\nrbAmqbI66iVGSYhYm1Z5RvqCl1MfTLkRYeq2LHETvyRpM/KZlKToU1raiK5TNtamVVakfSxLZrMy\n6WNtWqU/rVBP40Hvpp0KnZ0a39EgJOgWIrIR8JSqJiKyLbA9cF/BrlcAh2GRpMOAZp7TMMp8B1gK\nfBVYyehCglMwIcGFQB14FXAJ8AbgGuDXmOEZ3oDI0SJyi4jcUhsYkYTacRxnylBtbZkIInKQiDyM\nPbT/VER+ETa9GrhDRG7H7pXHqupT4ZjzRKThWZ0K7C0id2PDHKe20m/pPB0RORwb+P8IlkvtGczx\nuBtL4Hk2NgenDvwIExW8F/gw5v7dBczGPKAfYyKE9fP9+ORQx3G6RYfUa5cClxas/zFD49/5bUdl\n/n4SeF27/ZbO6ARWAusBv8GEAHMwry3BFGq3htd3hH3fi6ndvo5JpX8FnAG8FXgI+HS+g1bGdESG\nZM8rk15Wpz1AUJ4EWebg6+DGT8esto4z00g1oj+tsLrew9qkwkA6NBWvIimVyJZGZvhGlvgo/KaH\nQuKdf940L2bm3hPKGF5bgHk278e8mFeE178BngP8DHglNvHzy9gYzmewENtqVT0IS4nzUsxwfU5V\nV+Y7ccm04zjdYhpIpqeMsno67U4MPRJYAewmIi/CQnE1zOjsiKnh2iISZV7PWjaftZyte59g/coq\n5kZrBmXSAAMaUyOmphUSFfu/MTGNaHDwP69UKYsowHGmKwkRq9Meltbm8ky9j1X1XgbSmFQjUpXB\n2laWvmq4l9OMqU5/k2Wi4zXTmTIanbZr6ajqahE5Dfi7qv4JQERuBH6nqoUGxyXTjuN0A0VIvYjb\ntGMhUFfV3wVJ3ytE5AhMKPAnLOy2ITam8xsReSOWTfpNQU9+KzZBdKmI7A18VFWXZjsYS0iQpBGP\nrJjH8oE+FvdswjoVS3/TG9WpRMngOE5NI+ppTF2jwaesNDMZbTQXubEtmmaVRh1nujMYgsr81iJR\nKsGzqUQplSZeS9F4TqfT4czkX3zpzKmqXgA8CNwXDM6l2OTQ76jq3sC52DjOWuCzWBK6Oar6UcxY\nLVHV/1HVBZi6bR5N6um4ZNpxnI4ThAStLGWkrJ5O25NDReQ5WEhuPSxTAdgk0U1DW3/KduCSacdx\nusYMvuOU1ejAxMUErwZehs3ZeSLf+HjHdCJJLddanBKF08qGxyZDceKz+h1nbGppRE1jBtJKyCrd\nvPR0nPmN5mXS3cg0XVYvphVKZ3QmMDn081h26fOB5wFvx8aAnsa8nUez/bin4zhON1AgTd3oTDcm\nOjl0VTh2ObCFqt6W76AdTydVoa4R9TAhLdWINUnYhgw+ZQ2KB2guImiWC6pbdT0cp4xkRTtZGtLo\nSpQEj6bxe0uHeTtdRQH3dKYdn2ZIMn088O1MhumHsboOK4EjMMn0FaEE689UtTGeg4gcjBmoEbin\n4zhOt/B5OtOPiUqmfwbsG9q5QkRuVtUVk3VyNq6TUokSYtEpG9txHKeYfHXQWmMidosTr7seWZjB\nRqd0I9KTJJm+LjT3XSzc5pJpx3GmCa3JpcsqNiidpxOEBMdgQoKrMCHBVkAiIptg4oH9gL7w/1rg\nvSJyetj3KRHZE5NZz8LGevYnl1W11fCaqlBPIwaSmEiq1NOYgagSJqGlwdOxw7Px5SRzwbRT0wOm\nwVOY45Sc0dRq04JpeEqTRemMTmAyskx/CPg2sCtWl2cYngbHcZyuoKAzWL1WuvBa4PdYGO37WKnp\nIuP5Ekxo8Hbgi5hh6gOuD/nX3gL8Nazryx/sWaYdx+ke0uJSPspqdAYwb+UxoAdLZZMCMXAiloXg\nj1i9nLmYN3QgFmrbNLSxC5aRYDYFtb0nc0wnZaR0c5h7H0JxrS6O44yfaSONHg1tcSkhpTM6QUiw\nFSaL/ibwU8zYbA/8AzgWK0P9ckxIsCtmpM4EHgGeH5q6HzNac4HXF/Tjno7jON1hBhudso7pwMTT\n4GyDeTrrYUXdJpW6RqSZ+h2NbLfZ4kuFk0MzHtG0HOB0nBJitXJ0sFpodoJoto5OQ/iTFfd0PLow\nwyeHls7TCSzCPJePAD/HxnjOV9UzgK9hYbTrsHGbg4EPqupq4LSw35+AD2ApcBYDS/IduGTacZxu\nYSWrx14mgoi8RUQWi0gqIrtl1r9DRG7PLKmI7Fpw/Mki8khmv/1a6besns4C4F8xBdpCTP68u4gs\nwMZvDgb+G7gek0mfKiL/BZyKZaO+G5NL7xv+PynfQTsZCRpPUfbUZE9FqYrJp8NSTyPqqVULTYPG\nPp2A1l7KEJd2nGlAJIqIUo0SKlFKT/i/ohGVMIk7Gqwmmg7GSQanOnSwYuggnVGv3YndK7+VXamq\nPwB+ABCiQpep6u1N2jhNVb/STqdlNTqLMHVaP5Z54HdY9dBGKpyDME/ndGBP4IHwob0uzPNZgZU+\n2Bd4JfBa4LJsBy6ZdhynW3TimVJV/wIgMqqBextw8WT2WzqjM87JoZ8SkU9gHtLtwI3AGzBjtZQC\nPPea4zhdoT2RwIYickvm9Tnh3jVZ/Bum/G3GcSLyLuAW4COq+vRYDZbO6ATanRx6CHAR8G7gPqAX\nOAOTVD+EJRAdxlieThylzO9bw0azVrFez2rWra5lVjTA7LifeFiYzWp6JBoNigSSTMbppLTDao4z\nvalrzOqkykBaoZbGI4Q7jVyI+Zo63a+nI+0ICZaq6m7NNorItcAmBZtOUtXLRz0LkZcBq1X1zia7\nnIUphDX8/1VMsDUqZTQ6C7A3+X6GqoY+hhmgF2HJPN+EZR44FDgAi1n+O1as7RvYl/BSzHAdq6or\n8524p+M4TteYpDuOqi6cwOFvxcbGm7X9WONvETkXizyNSRmNDrQvlz4D2AGbm7MHpnirYUZnR2yM\nqC1UhVoaszapsCrpASCpCDWN6YtqVCUZrCI6W6y4TtETUzzi9Efi3pDjtE9NY/rTKmvTKjWNqWtM\nEgQ+AMkoda26TpfngItIhIm1XjXKPpuqakP5exAmTBiTMhqdRcDfGKqn82JMRHBGEBHsxZBceh+s\nns6jInIysFOYXIqI3Aj8TlULDY4LCRzH6QodmqcjIgdhkZ+NgJ+KyO2quk/Y/GrgIVW9L3fMecDZ\nqnoL8KUgpVbsgf6YVvoto9GB9uvpnICN2zwsInsA/4tZ8aUisjfwUVUdJigYK7yWqrBqwDyctUmF\nvrhOX1ynJ65TkZTq4MSzlEiUmOHxY/vbo3aOM1WkBZnck5LkK+uQeu1SrDRM0bbrsKwu+fVHZf4+\ndDz9li5uM856Over6j+p6gFY2pzbVXUBpnSbh9fTcRxnOuFpcKYdCzCZ9DcZEhNsKyIpJiZYjIXZ\ndsfCbweESU7/jo3hHBbaWYYlAN0K85AGaUdIMJjehqH/ExUbXdKI7IQzhtXO8eSdjjNVZFPZFHk4\n03Is51lAWY0OTFBMICKvB16GZZl+It+4j+k4jtMtZnLkvXThtcAibL7NhZgS7QlgJ+BKLPfaQuA2\n4HuE3GtYFuo7gfkhRLcQ+Ccs/9qm5PAs047jdAXF0uC0spSQMns6+Zo6D2KTle4AHgWWY2G204BP\nYsKCLYHlIvJKVT0olLBGVW/LNz4eT8fCbBGpNLLUpoMhtlRNRDA8i/TkXzQeMnCcGYB7OtOLJjV1\nnosZmzuBKnA+8HJV/ZuqHoeVL/gJlo3gz0HR9nJMfl3Uh3s6juN0BdHWljJSSqOTYSmWemElQxOT\njsNSNzwIbCQiHxSRNxYc+xegjo35OI7jTB9cvTYtyU8SnYcZ0TOxCqIAl6jq6QAi8hpV/aqIzA7b\nbsAUbp8patyFBI7jdI2SGpRWKLOnswAbq/kQsBtWlG0R8D7gVSKyFXBIxtOZIyJXAHup6jIsK+oO\nwJeKGvfwmuM43aDV0JqH1zrPIuAehmrqnAPsjBmjjUN47RJVPV1VrwBWqeobgetFZD7wGuCvmPEZ\ngU8OdRyna8xg9VqZjc4C4IWYkGAdLBS2FVZ0aHbwdPbM7L+DiHwks+4xYAMsAegI3NNxHKdbuKcz\nfRmvkKAKXIHV3xkoargTns5kypsbWREcx5kBzGAhQdmNzoZYBdF1sNAamJCg4ek8kQmvZXkeNmdn\nG0xKPQL3dBzH6QozfEynzOo1GJ4KJ+vp/FFVHxSRjUTkg1j2gix3Ab8EZmHjQlNKihBhE0bzNXXc\nO3EcZwQlNSitUGajMyHJtKr+e1h/ZlHjLpl2HKdbdLxCdgcps9FZgNXE+RCWR+0DWHnVjwA/F5G/\nYZLp+zFPpyGZnqOqnxWRy7Bkn4uLGh89y3Rz7yQNlQlTESKx6GW+5rrjON0lW8uqEX2Is+sKfrNF\nlX+d9inzmM5EJNNbYmKCy4Crixp3ybTjOF1jBgsJyu7pZGvqHA18l9Yk02cDmwHrYeVaX5hvvNDT\nyX7RCmkq1JKYWhKztB7TP1ClXo9IajGaRJCCJgIqNuiXL0Nb0ovGcUqDAKJorEhFkUpKpSehUkno\n7anTV6nTU6lTjRJ64oSeKKESpVQkHaz6axWAh1f+jadyFL/EIoFWKLOnA+OXTA8AV2EF39zTcRxn\nejGDPZ2yG53xSqbBMlRvjZVAGIFLph3H6RodMDoi8mURuUtE7hCRS0Omlsa2E0TkHhH5q4js0+T4\nbUTk92G/H4pITyv9ljm8BuOXTIOF5paEZQTD1Gu986muUqorBI0i6mmVAYVKJUErIAKVOEV6a9Ti\nmKSSkqZCkkRoKmgqoKAq4UJpM8RW0icax+kmjd8daiFuTQCNqCVCPY4Z6K+yKk6JYgujVeIUESWK\nlDhKiVBETHQgMhRik8FQ2+jCg/EidEy9dg1wgqrWReSLwAnA8SKyIybK2gkbhrhWRJ6vqknu+C8C\np6nqxSJyNvBurKbZqJTZ01mEeTUfwaqH/hp4Jqy7JOyTFRL8RVW/ClyHzc+5VFUPwiqKjiDr6fS4\np+M4Tqfo0ORQVf2lqtbDy5uALcLfBwIXq2q/qv4dE2ztnj1WRAR4LUP32guBN7XSb5k9nXFLpjEL\nfZyI7I+NB42KCtTmCLW5UJuXovPqbLX5Ul610b3Mq6xhbVplZdLLM/U+VtT7WF3vYW1SYW29Qi2N\nSdLIFhU0k65GcxeN+kRRx5kUkjSiVo9JE/vNRZESxSmVOKVaCaKBpgICHbeI4PrJegOtG5QNRSSb\ntPicIIJqlyOBH4a/N8eMUIOHw7osGwDLMkaraJ9Cymx0FgEvoVgy/Y0QXstPDn2jiHwKWBe4SlVP\nEJFfFjXuk0Mdx+karRudpaq6W7ONInItsEnBppNU9fKwz0lYQcsftHmW46LMRqddyfRWInId8Fvs\nA95WRH6MyaZHUCiZlrCgPL1qNjfKNsyu1IhEbVKoRtTTiFSFRO3/hvcShZhwNu1N3tNxHGdySBF6\nq/XB31scpcSiVOOEapRQzXo3GYl01tMB82ry4zWdmCQ6WZJpVV04aj8ihwP/ArxOdfCO9AiWm7LB\nFmFdlieB+SJSCd5O0T6FlHlMB9qTTF+BeUWEIm4bAL8HHixq2CXTjuN0jc6o1/YFPg68UVVXZzZd\nAbxVRHpFZBts3PsPw07PDNRvgEPCqsOAy1vpt+xGpx3J9BLgBQTvBVgL7Ac8UNSwS6Ydx+kKauq1\nVpYJciYwF7hGRG4PCjRUdTHwP8CfMZHW+xrKNRG5WkQ2C8cfD3xYRO7BHuK/3UqnZQ6vQXuS6X9g\nYbUjReQzwK8wtcX9RQ2PNaYzUI9ZvnYWq6JeVCHRiCQV0tT+Hy4YCCG1KQinufjAcZojoiAWXqtW\nEhIVkigizeVPjCIlEgvL2e90ZEZ46GD+tQ6E3lV1u1G2fQ74XMH6/TJ/30dO1dYKzyZPZ33MyJ4f\nrHY/ln9t3aKG3dNxHKdbeD2d6ctEPJ27wuu9gVPa7bjhyaja01GSCvUktkmhaZgUqqBpNCQY0ALP\npKQXjuOUAjFvJ4lt2kI9iUiqyWCl3TQWerA5jylCRVIqUTLo7UA6OJe7WU2sKWEG3xfKbHTaqqcD\nICLfB05X1UREbgRuBs4oatwl047jdIUS51VrhTIbnXYnh24Z9pHg6dyAqd5OAw7ONz56PZ3GPjaW\nU08iBmoVkiQiqUWkSQSpWIbpVGzAr5ECJ5dtutBFnsEXnON0FIE0UqgoSVWp9STUehIGqnX6eiKS\nSkSS1kkrQo8mEAMpI7ydWHTUCsCTfMqlDZ21QpmNTluTQwFEZCOGPJ19MPXF2qLG3dNxHKdbuNGZ\nnrQ1OVREXg8cjo0BLQtLDBTO5m3F0xGB3kqdeX01euJkMF2GVQ+NqKUxA/UKtRBLzo/5pGlIRBi8\nn6lUuXUaV9U53WYwMWekSKzEFVOwZdPg9Mb1EWlwKlEymP4mknQw7U1HKwDPgHtAM8quXmtncuhT\nDAkJYuAnWLnqalHDPjnUcZyu4fV0pi3jkkxjooPtge2AdUSkN9+wS6Ydx+kKHcoy3S3KHF6DcUqm\ngc8Al2LhtQ1UtT/fcKtjOpEolSilJ2SrHZRcZjB5ZjQsN9uwPG2pTVYbMZk0HOs4TvuoyrDaN5Z/\nLR2Wb21YSC2TVTqfUTobWnPJ9MQos9GZkGQa+I+w7r+KGm9lTMdxHGcq6FTig25QZqMzUcn0uVj9\nhyfa7TiqpMzqHWC9WatZv28N61bXsG5lLbPiGn1Rjd6oRoxSlXyhPUgQahqTamSZqBnKSJ2EaGfD\nu0nHEf1M3DNyHOppzMqkh4G0Qj2NLdoQJM/AiJo52XVQ7OF0krKGzlqhzEZnopLp5wCXYSG6Ebhk\n2nGcrlBikUArlNnoTFQy/TygD1O//Sjf+GjhtbQesaa/h6cFBpIKz1R76RuUXtYHa3JUw9hO/mmp\nkWwwCWM9kPVuujOe0zgPx5mJRKJUQuRhLO8GRv5mO5bos8EMNjplv9NMRDJ9HvB8rKbOCFwy7ThO\nN2hkJJip6rWyG52JZJneBHgxTarduWTacZxuIam2tJSRMofXYGJZptcHVjPBMZ0kjVhTr1JL4mHy\nzDx5OXQjjOYyaceZWiJRJIS7s3LpntgyDxTKpTOZpYHOZZeGGT+m82z2dLYArgReW9SwezqO43SL\nmRxeezZ7OpuH/bceb+eqIc9aEjOglcHaOtlaO5rxZLLrVGXwYWZYnrKSXkiOM12RSAcrh1rOtYRq\nlNBbqVvONY0GJ4hWSCnKLA1d8HZmKGU2OhOtp/MZYCOsDvgIXDLtOE63KKsX0wplNjrtTg7dBXg7\n8DoR2Qv4F8xQPV7U+GRkJBAB0BEZlxtjP4M1dUSHHmwKhnM8Y7PjjA8RDWM6ZBYd+g3SkE1r4Vhs\nlo7KpjtgdETky8ABwABwL3CEqi4Tkb2BU4GesO1jqvrrguNPBt7D0AT7E1X16rH6LfOYziLgHoon\nh24cJNOXNMZ0VPUUVX0+cHcY03lSVQ8Elhc17pJpx3G6gloanFaWCXINsLOq7oJFjU4I65cCB6jq\ni4DDgO+N0sZpqrprWMY0OFB+T6edyaHvBI5gKPS2vYhcB/yxqPFW6+lEovRU6sSNlBq5J6i0QJWW\nhjEdaH8yqHs9jtMeIkpFUuKgXMvWzrGEvWPXz+mkl9OpyqGq+svMy5uAQ8L62zLrFwOzRKS3KDHy\neCizpwPtTQ59OXAXZmxi4FfY93t/UcPu6TiO0zVMcTT2Ahs27lNhOXqcPR4J/Kxg/ZsxYVYzg3Oc\niNwhIueLyHqtdFRmTweGJNOLsdDaHzEhwcKsZBpARNbFPJ27g5CgHyvgtm5Rw55l2nGcbtGGp7NU\nVQurHwOIyLXYRPg8J6nq5WGfkzBl7w9yx+4EfBF4fZPmzwI+i41AfRZzAI4c64TLbnTakUw3PJ2X\nBk/nLuyD3hs4Jd9wq+q1OEqpRkkm91rS1F3PkgwLu410OH2CqONMnKzkGYYmbmfDZc0ySnc831qD\nSZwcqqoLR9suIodjoqrXqapm1m+B1Rx7l6re26TtxzL7nwtc1co5ldnotCWZFpGrgE8D7w2ezo3A\nzcAZRY27p+M4TrfohL0TkX2BjwN7qurqzPr5wE+BT6jqb0c5flNVXRJeHsTQg/+olNnotCuZPg6Y\nC7xaRBYCN2BjQacBB0/GCeVFBA0vZyij7dCVVJGMh5NZnxZppruM1+hxZgL5iENRrZyueTc5OnQa\nZwK9wDVi8ztuUtVjsXvldsCnRORTYd/Xq+rjInIecLaq3gJ8SUR2xfyy+4FjWum0zEan3Xo6VwCI\nyPnB09kHOB5YW9S4Tw51HKcrKA2RwNR2o7pdk/WnUDDkELYdlfn70PH0W2ajM1HJ9DIgBgoH4cYT\nXktVCid3NqMSjawsOlGmYiyo4o6O43SUmZyR4Nksmf4JMBtTsI3AJdOO43QNbXEpIaU0OkFxsRMW\nk/w6cBJwC/AMVh/nBhG5HngQmBWyTP8dqxZ6AyY62AjYA1gtIr35PjzLtOM43cCLuE1fVgLrAb/B\nqoDuiHkvrwT+G7gNqGHCgTcCh2L5hXYHlqvqAmxez/VFE5/c03EcpytoawXcylrEraxGZwHmXL4f\nEwIcjYXOtgJ+AWyJ5QyqAHHwdJYDd4fjZoUJUS8CHi7qwD0dx3G6hofXpiVjjefcr6p7APNEZHsy\nX5GqrgQeAlLgjR09a8dxnDGYyeG1sqrXWpkY+pSIfA24UlXvFpHbVPX0oGoDG9t5MTYeNAKXTDuO\n0xUUKGnorBXK6uksAD6JTQzdDZsYugh4H/CqYFheADwF7B88nW1E5FLguSEx3SJsHOjTRR14eM1x\nnK7h4bVpR6u1dE4Bfq6qdwN/V9WDgAdV9WngDcCjwI1FHbiQwHGcbjGTw2tlNToLgBdiE0PXwcJg\nWzF8YuhhIvJbTBYN8JKQ/HPX8HoJsBnw2qIO3NNxHKdbuHptejJuIUHIoHoR5ikVlqvuhKfjmaQd\nxxlBq6G1ctqcUhudRi2ddbDQGpiQoOHpbB08neUhvJa9wz8P2AbYPLQzAvd0HMfpBjY5VFtaykiZ\njc5EJNPXY+NC92MqthFMpqfTyBw9mXVzUpXCxXGcGUDa4lJCnrWSaVU9IuRg+xpweb4Dr6fjOE63\nKKsX0wplNTqt1NJ5AZYiZ38R+SFDkuk0SKYvwpJ9XjMVJ2heRwRYTZ3BOjmF3s5UnIHjOK0yXero\nAKUer2mFsobXJiSZxlRrTwJXAtcWdeCSacdxusPMzr1WZk9nrFo6h4nIPwMNi5GVTD8HMzxbAt+i\noKZOq+G1VIVaGgMwkMahYmjx7mUccynjOTsOjKzkW5HU/o9SIpRKlNjvFR1W6ReGVxXtihc0g8Nr\nZfV0YAJCAuB64P+AXYDvFTXuno7jOF1BrVx1K0sZKbPRmYhkejYwH5hDk+ipS6Ydx+kaqq0tE0BE\nviwid4nIHSJyqYjMD+u3FpE1InJ7WM5ucvz6InKNiNwd/l+vlX7LGl4D83S+g4Xasp7OH1X1QRG5\nX1X3EJHfF3g6dSzv2r1YcbcRjJXwc1bvAJvPXU5fpc5AEjOQxvTXK/QnFepJRC2NSVMhSSPSVFCV\nUPq8ISgYaks9hOU4k4oqaBqhCiIQxSlxnNJTrVOtJPRV6vTEdXrihJ4ooSdOqEhqIbd8uC0j/ulY\nqK0z0bVrgBNUtS4iXwROAI4P2+5V1V2bHwrAJ4BfqeqpIvKJ8Pr4MY551no6W2NG629YcbcRuKfj\nOB8uxk4AABCfSURBVE63kDRtaZkIqvpLVa2HlzcBW7TZxIHAheHvC4E3tXLQs9XT2RxYF/N4th1P\n52v6e3hkxTxmVWvEUUolPAH1xnV6Y5sQ2hiE19zEzbxn44P1jjN1RKLEUWqLpBmvJiySEkk6KDRo\neDNxEBkMtdNBL6fz4zVHAj/MvN5GRG4DngE+qar/W3DMxqq6JPz9KLBxKx2V1ehMdHLobzDvSIE/\nFHXg9XQcx+kGQlspbjYUkVsyr88JyltrS+RaYJOC405S1cvDPidhD+A/CNuWAFup6pMi8lLgMhHZ\nSVWfaXYSqqoireW9LqvRGc/k0PVF5B7gDFVNRWR/7IMuLG0wlmR6/XVWs/MGS5hfXUOiQj2NWZNW\n6U8qDKQV6hpRT21peD0Njybv2bin4ziTi6rQn1RI0ogkFZI0Jo4iKnFikYc4Gdo5shthKhriIdGg\nV5Mig95OqlEHvZ2Wjc5SVR0x5WOoGV042sEicjjwL8DrVK1TVe3H5kCiqreKyL3A84Fbcoc/JiKb\nquoSEdmUJsmT85R1TKftyaGqehhwlaqe0Sjipqr7ARsUdeCSacdxukZn1Gv7Ah8H3qiqqzPrNwop\nwhCRbYHtgfsKmrgCOCz8fRgF6cSKKKvRabuejoj8K3BIpo2XishluGTacZzpRGNMZ+oTfp4JzAWu\nyUmjXw3cISK3A5cAx6rqUwAicp6INDyrU4G9ReRuLOJ0aiudljW8Bu0LCZYCiMh7VPXcMEj2GuCP\nRY2PNaazplbhkdXzeIR5rBjoZWV/L2v7q9RqMWktQpMITQRSsQp/ChTIpR3HmQIUSMPvTRSqCtWU\nqCeh0pvQW63TV63RW63Tm5VOR0nIVBANCgwautcI7ViIbaLKtFZQ1e2arP8x8OMm247K/P0k8Lp2\n+y2rpwPtS6Y3BFDVc8O+/UAvpmIbgXs6juN0hxZDayVNlfOs9XSAvwD7A/thYbphjOnp9PewZMW6\n9MSWv6kaJUR9StIjpGHwUjU3KTRcIzoopZ74h+ATSx2nOSKKCEhksulqJaFascmg1TgxLydKBuXT\njdyJUTfDEXbD6F7/U0xZjU7bkmngbhG5JOPp3ADsBXymqAOvp+M4TtcoaV61Viir0RmPZPqdwOEi\nsjgYnluAu4EvAUeN7GJsVCFRob8eU6vH1Osx9VpMWo8gEbQeIYlAiv2vFl4mzfwNQ2M8bZi2xrHu\n5zhOMY3gQhqDVpSBqrKmN0V6Eqq9dXp76vRU6/RV6vRVakPjOiqD6XDsBjlUE6sxrgNTO1l0Jhdx\nK+uYzngk058GLsh4Oq8B/spI7TngkmnHcbqIj+lMO9qup5ORTH8wtPEYNkdnD2BEFtVWwmsi2FNS\n39BTUqOGR6pik0PDJNFaGoeJahG18L8qpGlEqhKuoaG0Oe1QzkvPcaYewcZ1okipxCGxZ5xSjROq\nIdHn4JhOi+lwYIpT4qhCMnPja2X1dKD9ejqDQgIR6cEmNiXAQFHj7uk4jtM1ZrCnU2ajMxHJ9LZY\n1dBtsLo6I3DJtOM4XWMGG52yhtdg4pNDfwnMwsaGRtBuws9GDY7ByWWMLFs9mHttMBebhdZShudk\n89xsjjO5DEqhc+Wp86+BwpLV1kYns0yX06C0wrPV0wH4MyYk2KOocfd0HMfpDgqatraUkGelpwNc\nDHwYqxx612SdUNazyVYeHG2iWcPLSUZ4N+0/D7hH5DjNGf77HO7VwEjPJrtfR1FmtJCgrEZnQpND\nQy3w/1PVfxWRcwra93o6juN0j5KO17RCWY3OhCaHYvLqeSJyFbBRUQfjyUiQqow5WzOSdJgXE2GT\nzuIR9Y/af9KJMn2Px1NynJlM1muZlh5OFjc6045FwEsonhz6jRBeu0RVTxGROHg6nxaReZkxnX2C\nN3NbUQfu6TiO0x3Kq0xrhbI+Dk+4nk4Iqx2JJfwcgQsJHMfpCgqkaWtLCSmrpwMTzzK9FVYLfElR\n4xP1dGxQPwJSkkz4rJaGbE4h/JWVUWdfF7dZ1mcEx+k+DYk0MGxKQ5FUelgIvCtiAvd0piPjlkyL\nyGzM4N4IHFjUuHs6juN0h5AGp5WlhDwrPR3gSswI1YHC6nmtkqQR/UmFJI1YXW88ORVPCgXLq5b3\narK51jole/Y6PM6zAQkTQkWUiljOtUaetZ44ZJIOORMrwaNpTHUAOpZVehgKWtI5OK1QVqMz4Xo6\nInImlpHg5qIOXEjgOE7XmMEZCcpqdMYjmX4fcKCIbK2qb2IorLa4qINWJNOqIZt0EjOgFXuNVQtt\nZI62/Yava7yGRpHAnNcxc683x+k42aqhPXFCT8UyTPdWQtVQjahISholwduxsdhsDR2wMdXOeTtT\nfxMQkS8DB2BJj+8FjlDVZSLyDuBjmV13AV6iqrfnjj8ZeA/wRFh1oqpePVa/ZR3TGU89nQ9ihuhR\nEVkPuFlVDwB6izrwLNOO43QFq3nSCfXaNcDOqroLFjk6wbrXH6jqrqq6K3Ao8Pe8wclwWmPfVgwO\nlNvTabeezgeAf8PEAwAvFZHLgPuKOphIuWoRDc9KMuyBJQpPTmAxZlUJr/INuLPjOJNFJP+/vfOP\nkauq4vjnu9uWSlqgBYLVYvpDMNaILamltYEgRaxCalASSkipFqNoqkL/0DaNBg0m2lQtRuWHQEIi\nEiSY0DRQyo9q0ITSKv1Fa23BGjRILRGlaWna7vGPe2bn7ezM7Ozu7Ju3O+eT3Mx99905976T9+bO\nvfe8c4zODkPCk3Xv9ZTOd6i3g97ecnLcZ8lhpmNmmzKHL5B5pSTDDSS3YU1juM50oP/xdBYAzwNz\nzOw/pJdCJwB/riY8ZjpBELQGw06daigB55R+pzx9aYCNLgOerFJ+PfBwne8tl7RT0gO+gtQnw3nQ\n6a/J9LPApcCLXvc4aWntjGrCw2Q6CIKWUApt0EiCw6XfKU89fElKekbS7irpM5k6q0mWvA9VfPcS\n0p/43VTnLmA6MJP0vuOPGrm84bq8Bv03mS7NdOZ53b3A1SSPBL+oFN6I9ZqUpuZjRp2kszvEbR2P\n0pl4OVbxUmj2fC3CzDkI+k/JXLqzo4tRHV0V4amtR/yrSnPpErm/INokk2kzu7LeeUmfB64BFpj1\nWtNbTJ1Zjpm9kZHzS2BDI31q55nO+/xzczXhMdMJgqAVGGBd1lAaDJIWAt8EFpnZ0YpzHSQL4Zr7\nOZImZQ6vpfznvy7tPNNZBhwl+XAbMJ0dXYzuOMXYzpPJHLMicmj2n1OJUz1eBu3I5Ps/k+nqy611\nEARAeeZSy/1Ntk73catc4OTzcujPSFsMT0sCeMHMbvFzlwGvmVkPQytJ9wF3m9k2YI2kmaRx8iDw\n5UYaHa6DTr9fDpV0PfB94CYANwdE0qpqDcTLoUEQtAo3EhjaNsxqemMxs98Bc6uUfzGTXzKQdtV7\nGa/4+DrkduC4me2VtA54DFgLzDUzk7TOzG51zwN3+rmXgb8BDwLfIo3QR8xsXR/tvU0KbR2kZc3D\nre5EQQhdlAldJD5gZuMHI0DSRtxXZAMcNrOFg2kvb4bloJM3kraZ2exW96MIhC7KhC7KhC4SoYe+\nGc6GBEEQBMEwIwadIAiCIDdi0GmMe/uu0jaELsqELsqELhKhhz6IPZ0gCIIgN2KmEwRBEORGDDpB\nEARBbsSg40haKGmfpAOSVlY5f5qkR/z8FklT8u/l4HBPsIck7c6UTZT0tKT9/jnByyXpp369OyVd\nnPnOUq+/X9LSGm1VlVsUJJ0vabOkPZJelvQNL287fUgaK+lFSTtcF9/18ql+rx/we3+Ml9d8FiSt\n8vJ9kj5Zo72qcouEpE5JL0na4Mdtq4umY2Ztn4BOUuS8acAYYAcwo6LOV0nuHyA5wnuk1f0ewHVe\nBlwM7M6UrQFWen4l8EPPf5rk6lykN5O3ePlEUgyiiaTQEK8CE6q0VVVuURIwiRQNEWA8ycPFjHbU\nh1/TOM+PBrb4Nf4GWOzldwNf8XzVZ8H1t4PkWmWqP1OdVdqrKrdICVgB/BrYUK/P7aCLpuu21R0o\nQiL5Y3sqc7wKWFVR5ylgnudHkd6+Vqv7PoBrnULPQWcfMMnzk4B9nr8HuKGyHimo0z2Z8h71+pJb\n1AQ8Dnyi3fUBnE6KMXWJ3+OjvLz7Gan1LFQ+N9l6mTLVkluUBEwmOQi+guQ5uWafR7ouhiLF8lri\nvcBrmeN/eFnVOmZ2EvgvcHYuvRtazjOz1z3/L+A8z9fSSSO6qie3cPiSyCzSP/y21IcvJ20HDpHC\nGL8CvOX3OvS8rlrPQiO6OLuO3KKwjuR9ueR1s16fR7oumk4MOkE3lv5uNd2GfqjkNgNJ40h++241\ns/9lz7WTPszslCUnuJOBOQzS+/pwRdI1wCEz+1Or+zJSiUEn8U/g/MzxZC+rWkfSKJJn6zdz6d3Q\n8oY8LoZ/HvLyWjppRFf15BYGSaNJA85DZvZbL25bfQCY2VukGFPzgLP8Xoee11XrWWhEF2/WkVsE\n5gOLJB0kxZK5guQwuB11MSTEoJPYClzgliRjSBuC6yvqrAdKlknXAc/5P9bhTva6lpL2NkrlN7nV\n1lxSMLzXSWvTV0ma4BZYV3lZo3ILgSQB9wN7zezHmVNtpw9J50o6y/PvIu1t7SUNPtd5tUpdVHsW\n1gOL3aJrKnAB5aCJQPcsr5bclmNmq8xssplNIf0OPGdmN9KGuhgyWr2pVJREsk76K2kte7WXfY8U\nVQ9gLPAocIB080xrdZ8HcI0Pk2KZnyCtH99MWld+FtgPPANM9LoCfu762AXMzshZ5no4AHwhU35f\nqV4tuUVJpOB/BuwkhcnY7vdA2+kDuAh4yXWxG/iOl0/ze/2A3/un9fUsAKtdR/uAT2XKnwDeU09u\n0RJwOWXrtbbWRTNTuMEJgiAIciOW14IgCILciEEnCIIgyI0YdIIgCILciEEnCIIgyI0YdIIgCILc\nGNV3lSAYXkgqmScDvBs4Bfzbj4+a2ceGoM1ZwHIzu3mQcpaT+vhAc3oWBMUiTKaDEY2k24EjZrZ2\niNt5FLjDzHYMUs7pwB/NbFZzehYExSKW14K2QtIR/7xc0u8lPS7pVUk/kHSjx5XZJWm61ztX0mOS\ntnqaX0XmeOCi0oAj6XZJD0p6XtLfJX1W0hqXu9Hd7+Bt7lGKz7MWwMyOAgclzclLJ0GQJzHoBO3M\nR4BbgA8CS4ALzWwOyZPA17zOncBPzOyjwOf8XCWzSW/yZ5lO8tu1CPgVsNnMPgwcA672JcBrgQ+Z\n2UXAHZnvbgMuHfzlBUHxiD2doJ3Zah5uQNIrwCYv3wV83PNXAjOSqzYAzpA0zsyOZORMorxnVOJJ\nMzshaRcpSODGjOwppDgt7wD3e3TKDZnvHqJNvTwHI58YdIJ25ngm35U57qL8bHQAc83snTpyjpF8\ncPWSbWZdkk5YefO0ixS066QvoS0gOXxcTpoZ4bKODeB6gqDwxPJaENRnE+WlNiTNrFJnL/D+/gj1\nOD5nmtkTwG2kpb4SF9J7uS4IRgQx6ARBfb4OzPbN/j2kPaAemNlfgDPdoKBRxgMbJO0E/gCsyJyb\nT4reGQQjjjCZDoImIOk24G0zq2Zo0B85s4AVZrakOT0LgmIRM50gaA530XOPaKCcA3y7CXKCoJDE\nTCcIgiDIjZjpBEEQBLkRg04QBEGQGzHoBEEQBLkRg04QBEGQGzHoBEEQBLnxf1gGD9FNLCC/AAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f88a2318850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LLrYlIocDP1PV3DEZuemuxgy2/XixdBbLnkBE7gZuVdUHx1qXvRFrYFiGhDUwLBaLxTIc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\no6qpsVZkb8T346TSxsDonGxaE5nUdhZ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KFRt4o6qOMcEAv5g4gjNLi8jz2ZRag8WATzBU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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f88a206e210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from runAndPlot import run_c302\n",
    "\n",
    "%matplotlib inline\n",
    "cells, cells_to_stimulate, params, muscles = run_c302('AVB_VB_DB_VD_DD_AS','C2','',4000,0.05,'jNeuroML_NEURON',verbose=False, plot_ca=False, data_reader=\"UpdatedSpreadsheetDataReader\", config_package=\"notebooks.configs.AVB\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
